Upprifjun
48
Tölfræ ði H anda fólkiíhagnýtu nám i.
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Upprifjun. Meira um tölfræði. Besta lína - aðhvarfslína. Sjá skrána gqgn.xls – dálka K og L U21 – hlutfall ungra ökumanna, % með próf undir 21 Dauðaslysa af 10.000. - PowerPoint PPT Presentation
Transcript of Upprifjun
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Tlfri
Handa flki hagntu nmi.
-
Year
TVprice
TVcumpr
1964
777
3,104
1965
779
5,798
1966
787
10,910
1967
746
16,373
1968
662
22,588
1969
615
28,779
1970
624
34,099
1971
549
41,373
1972
520
50,218
1973
474
60,289
1974
448
68,700
1975
442
74,919
1976
430
83,113
1977
407
92,454
1978
380
103,674
1979
360
113,170
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Sheet: Chart1
Sheet: Sheet1
Sheet: Sheet2
Sheet: Sheet3
Sheet: Sheet4
Sheet: Sheet5
1964.0
1964.0
1965.0
1965.0
1966.0
1966.0
1967.0
1967.0
1968.0
1968.0
1969.0
1969.0
1970.0
1970.0
1971.0
1971.0
1972.0
1972.0
1973.0
1973.0
1974.0
1974.0
1975.0
1975.0
1976.0
1976.0
1977.0
1977.0
1978.0
1978.0
1979.0
1979.0
777.0
3.104
779.0
5.798
787.0
10.91
746.0
16.373
662.0
22.588
615.0
28.779
624.0
34.099
549.0
41.373
520.0
50.218
474.0
60.289
448.0
68.7
442.0
74.919
430.0
83.113
407.0
92.454
380.0
103.674
360.0
113.17
Year
TVprice
TVcumpr
3.104
5.798
16.373
22.588
28.779
34.099
41.373
50.218
60.289
74.919
83.113
92.454
103.674
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Year
TVprice
TVcumpr
Mean
1971,5
562,5
50,59756
Standard Error
1,190238
38,01831
8,940049
Median
1971,5
534,5
45,7955
Mode
#N/A
#N/A
#N/A
Standard Deviation
4,760952
152,0732
35,7602
Sample Variance
22,66667
23126,27
1278,792
Kurtosis
-1,2
-1,42877
-1,16137
Skewness
-6,8E-17
0,311565
0,310181
Range
15
427
110,066
Minimum
1964
360
3,104
Maximum
1979
787
113,17
Sum
31544
9000
809,561
Count
16
16
16
Confidence Level(90,0%)
2,086548
66,64803
15,67236
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Bin
Frequency
Cumulative %
1
2
2,11%
2
6
8,42%
3
10
18,95%
4
8
27,37%
5
25
53,68%
6
10
64,21%
7
21
86,32%
8
7
93,68%
9
5
98,95%
10
1
100,00%
-
Sheet: Chart2
Sheet: Sheet7
Sheet: Sheet10
Sheet: Sheet6
Sheet: Sheet1
Sheet: Sheet2
Sheet: Sheet3
Sheet: Sheet4
Sheet: Sheet5
1.0
1.0
2.0
2.0
3.0
3.0
4.0
4.0
5.0
5.0
6.0
6.0
7.0
7.0
8.0
8.0
9.0
9.0
10.0
10.0
2.0
0.021052631578947368
6.0
0.08421052631578947
10.0
0.18947368421052632
8.0
0.2736842105263158
25.0
0.5368421052631579
10.0
0.6421052631578947
21.0
0.8631578947368421
7.0
0.9368421052631579
5.0
0.9894736842105263
1.0
1.0
Bin
Frequency
Cumulative %
0.010526315789473684
1.1111111111111112
1.0
0.021052631578947368
2.2222222222222223
6.0
0.08421052631578947
3.3333333333333335
10.0
0.18947368421052632
4.444444444444445
8.0
0.2736842105263158
5.555555555555555
25.0
0.5368421052631579
6.666666666666667
10.0
0.6421052631578947
7.777777777777779
21.0
0.8631578947368421
8.88888888888889
7.0
0.9368421052631579
More
Bin
Frequency
Cumulative %
0.021052631578947368
0.08421052631578947
0.18947368421052632
0.2736842105263158
0.5368421052631579
0.6421052631578947
0.8631578947368421
0.9368421052631579
0.9894736842105263
Year
TVprice
TVcumpr
Mean
1971.5
Mean
562.5
Mean
50.597562499999995
Standard Error
1.1902380714238083
Standard Error
38.01830699369275
Standard Error
8.940049108724532
Median
1971.5
Median
534.5
Median
45.795500000000004
Mode
Mode
Mode
Standard Deviation
4.760952285695233
Standard Deviation
152.073227974771
Standard Deviation
35.76019643489813
Sample Variance
22.666666666666668
Sample Variance
23126.266666666666
Sample Variance
1278.7916490625007
Kurtosis
-1.2
Kurtosis
-1.4287665387322401
Kurtosis
-1.1613678792666469
Skewness
-6.767073673905717E-17
Skewness
0.31156478242506935
Skewness
0.310180526153196
Range
15.0
Range
427.0
Range
110.066
Minimum
1964.0
Minimum
360.0
Minimum
3.104
Maximum
1979.0
Maximum
787.0
Maximum
113.17
Sum
31544.0
Sum
9000.0
Sum
809.5609999999999
Count
16.0
Count
16.0
Count
16.0
Confidence Level(90,0%)
2.086548086180656
Confidence Level(90,0%)
66.64803252564776
Confidence Level(90,0%)
15.672362366846333
Einkunnir hagfri hausti 1992
0.0
0.0
1.0
4.0
2.0
8.0
3.0
8.0
4.0
5.0
5.0
6.0
6.0
1.0
7.0
2.0
8.0
5.0
9.0
7.0
9.0
6.0
4.0
5.0
2.0
5.0
5.0
6.0
3.0
7.0
7.0
4.0
6.0
3.0
7.0
2.0
7.0
7.0
3.0
2.0
5.0
6.0
7.0
4.0
8.0
3.0
5.0
7.0
3.0
3.0
5.0
5.0
8.0
5.0
7.0
5.0
7.0
7.0
8.0
7.0
5.0
7.0
6.0
4.0
3.0
7.0
5.0
2.0
7.0
7.0
5.0
4.0
7.0
3.0
6.0
6.0
5.0
9.0
5.0
5.0
5.0
5.0
8.0
2.0
6.0
5.0
7.0
5.0
4.0
5.0
8.0
6.0
7.0
5.0
5.0
10.0
3.0
5.0
9.0
3.0
7.0
9.0
4.0
9.0
7.0
Year
TVprice
TVcumpr
3.104
5.798
16.373
22.588
28.779
34.099
41.373
50.218
60.289
74.919
83.113
92.454
103.674
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Heiti
Ger
Dmi
Flokkun
Ggn samanstanda af tknum sem einungis er hgt a greina hvort fr ru, hgt er a flokka ggnin. Ekki er hgt a raa ggnunum tiltekna r grundvelli mlinga.
A,B,B,A,C,C
Raskrning
Mling er skr annig a unnt er a raa ggnum upp r grundvelli mlingarinnar.
Strarskrning
Raskrning, ar sem hgt er a segja til um hve miki ein mling er strri en nnur. Mlieining verur a vera fyrir hendi.
Fjarlg
Vimisskrning
Strarskrning, ar sem mia er vi tiltekinn grunn ea upphafspunkt.
Fjarlg fr tilteknum punkti me formerki.
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iXE "i", rtaksrmXE "rtaksrm" - Mengi allra hugsanlegra niurstana r mlingu, tkna SYMBOL 87 \f "Symbol". Ef
er hugsanleg niurstaa r mlingu, gildir
og i ea rtaksrmi inniheldur n ea endanlega mrg stk.
-
HendingXE "Hending", rtakXE "rtak" - Hlutmengi i, hluti hugsanlegra niurstana r mlingu. Ef A er hending gildir
. annig gti A veri mengi k mlinga sem fengin vru r rtaksrminu ea
-
GagnavektorXE "Gagnavektor", gagnafrslaXE "gagnafrsla" - Ggnum raa upp r, til dmis eftir eirri r sem eirra var afla
-
Mealtal (mean)XE "Mealtal" rtaks ea hendingar
er
MealgildiXE "Mealgildi" is ea rtaksrms
er
-
Mitala (median),
XE "Mitala, " - S tala sem skiptir ruum ggnum upp tvo jafn stra hpa, annig a 50% gagnanna su jfn ea minni en
. Ef fjldi mlinga vri 2n-1 vri mitalan tala nmer n. Ef fjldi mlinga vri 2n er mitala mealtal mlinga nmer n og n+1.
-
Htnitala (mode),
XE "Htnitala (mode), " - S tala sem oftast kemur fyrir meal gagna.
Fjrungstlur
XE "Fjrungstlur " - Tlur sem skipta ruum ggnum fjrunga annig a 25% gagna eru minni ea jfn Q1 en 75% minni ea jfn Q3
-
MileitniXE "Mileitni" - Mealtal, mitala og htnitala eru mlikvarar miju ea mileitni gagna. Ef ggn eru samhverf, er mealtal oft heppilegt mijumat, en ef au eru a ekki eins og oft sr sta launadreifingum, getur mitala gefi betri mynd af miju. Htnitala helst vi tnimlingum.
-
Breytileiki (variance)
-
Staalfrvik (standard deviation)XE "Staalfrvik (standard deviation)" - s og SYMBOL 115 \f "Symbol".
BreytileikastuullXE "Breytileikastuull"
Hentugur til a bera saman breytileika, egar mlingar eru ekki gerar smu einingum.
-
z-gildiXE "z-gildi"
Lsir frviki fr mealtali mldu staalfrvikum.
Normaldreif ggn. Ef ggn eru nokkurn veginn normaldreif, gildir:
Regla TebistevXE "Regla Tebistev". - Sama er hvernig ggn dreifast alltaf gildir a bili
-
Raflttur - Fjldi raa me k stkum, sem hgt er a mynda r n stkum er
-
Raflttur me eins stkum - Fjldi raa me k stkum sem hgt er a ba til r n stkum, ar sem k1 eru eins, k2 eru eins, ....., kj eru eins, ar sem k1+k2+....+kj=k, eru
-
Flttur - Fjldi hpa me k stkum sem hgt er amynda r n stkum
-
Meira um tlfri
-
Sambreytileiki - covariance:
Aallega nota til ess a kanna hvort strir sveiflast eins, fugt ea hvort r su har.
_1046202803.unknown
_1046203698.unknown
_1046202405.unknown
-
Sheet1
xyxy
22x5.0833333333
222y-490.4722222222
33
33
533
51
81
82
72
15
56
56
Sheet2
Sheet3
Sheet1
xyxy
22x5.0833333333
222y-490.4722222222
33
33
533
51
81
82
72
15
56
56
Sheet2
Sheet3
-
Betri er fylgni sem mlikvari a hvort strir sveiflast eins:
_1046203351.unknown
-
Sheet1
xyxy
22x5.0833333333
222y-490.4722222222
33
33
533
51
81
82
72
15
56
56
Sheet2
Sheet3
Sheet1
xyxy
22x5.0833333333
222y-490.4722222222
33
33
533
51
81
82
72
15
56
56
Sheet2
Sheet3
Sheet1
xyxy
22x5.0833333333
222y-490.4722222222
33
33
533
51xy
81x1
82y-0.18652114291
72
15
56
56
Sheet2
Sheet3
-
Chart1
2
22
3
3
33
1
1
2
2
5
6
6
y
x
y
Punktarit af (x,y)
Sheet1
xyxy
22x5.0833333333
222y-490.4722222222
33
33
533
51xy
81x1
82y-0.18652114291
72
15
56
56
Sheet1
y
x
y
Punktarit af (x,y)
Sheet2
Sheet3
-
Chart2
2
22
3
3
33
1
1
2
2
5
6
6
y
Ahvarfslna
x
y
Punktarit af (x,y)
Sheet1
xyxy
22x5.0833333333
222y-490.4722222222
33
33
533
51xy
81x1
82y-0.18652114291
72
15
56
56
Sheet1
0
0
0
0
0
0
0
0
0
0
0
0
y
Ahvarfslna
x
y
Punktarit af (x,y)
Sheet2
Sheet3
-
Besta lna - ahvarfslna
-
Sheet1
xySUMMARY OUTPUT
22
222Regression Statistics
33Multiple R0.19
33R Square0.03
533Adjusted R Square-0.06
51Standard Error10.24
81Observations12
82
72ANOVA
15dfSSMSFSignificance F
56Regression137.7737.770.360.56
56Residual101047.90104.79
Total111085.67
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 90,0%Upper 90,0%
Intercept10.716.601.620.14-3.9925.41-1.2522.66
x-0.791.31-0.600.56-3.712.13-3.161.59
RESIDUAL OUTPUT
ObservationPredicted yResiduals
19.13-7.13
29.1312.87
38.35-5.35
48.35-5.35
56.7726.23
66.77-5.77
74.41-3.41
84.41-2.41
95.20-3.20
109.92-4.92
116.77-0.77
126.77-0.77
Sheet1
-7.1338797814
12.8661202186
-5.3469945355
-5.3469945355
26.2267759563
-5.7732240437
-3.412568306
-2.412568306
-3.1994535519
-4.9207650273
-0.7732240437
-0.7732240437
x
Residuals
x Residual Plot
Sheet2
29.1338797814
229.1338797814
38.3469945355
38.3469945355
336.7732240437
16.7732240437
14.412568306
24.412568306
25.1994535519
59.9207650273
66.7732240437
66.7732240437
y
Predicted y
x
y
x Line Fit Plot
Sheet3
Sheet1
xySUMMARY OUTPUT
22
222Regression Statistics
33Multiple R0.19
33R Square0.03
533Adjusted R Square-0.06
51Standard Error10.24
81Observations12
82
72ANOVA
15dfSSMSFSignificance F
56Regression137.7737.770.360.56
56Residual101047.90104.79
Total111085.67
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 90,0%Upper 90,0%
Intercept10.716.601.620.14-3.9925.41-1.2522.66
x-0.791.31-0.600.56-3.712.13-3.161.59
RESIDUAL OUTPUT
ObservationPredicted yResiduals
19.13-7.13
29.1312.87
38.35-5.35
48.35-5.35
56.7726.23
66.77-5.77
74.41-3.41
84.41-2.41
95.20-3.20
109.92-4.92
116.77-0.77
126.77-0.77
Sheet1
x
Residuals
x Residual Plot
Sheet2
y
Predicted y
x
y
x Line Fit Plot
Sheet3
-
Sheet1
xySUMMARY OUTPUT
22
222Regression Statistics
33Multiple R0.19
33R Square0.03
533Adjusted R Square-0.06
51Standard Error10.24
81Observations12
82
72ANOVA
15dfSSMSFSignificance F
56Regression137.7737.770.360.56
56Residual101047.90104.79
Total111085.67
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 90,0%Upper 90,0%
Intercept10.716.601.620.14-3.9925.41-1.2522.66
x-0.791.31-0.600.56-3.712.13-3.161.59
RESIDUAL OUTPUT
ObservationPredicted yResiduals
19.13-7.13
29.1312.87
38.35-5.35
48.35-5.35
56.7726.23
66.77-5.77
74.41-3.41
84.41-2.41
95.20-3.20
109.92-4.92
116.77-0.77
126.77-0.77
Sheet1
x
Residuals
x Residual Plot
Sheet2
y
Predicted y
x
y
x Line Fit Plot
Sheet3
Sheet1
xySUMMARY OUTPUT
22
222Regression Statistics
33Multiple R0.19
33R Square0.03
533Adjusted R Square-0.06
51Standard Error10.24
81Observations12
82
72ANOVA
15dfSSMSFSignificance F
56Regression137.7737.770.360.56
56Residual101047.90104.79
Total111085.67
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 90,0%Upper 90,0%
Intercept10.716.601.620.14-3.9925.41-1.2522.66
x-0.791.31-0.600.56-3.712.13-3.161.59
RESIDUAL OUTPUT
ObservationPredicted yResiduals
19.13-7.13
29.1312.87
38.35-5.35
48.35-5.35
56.7726.23
66.77-5.77
74.41-3.41
84.41-2.41
95.20-3.20
109.92-4.92
116.77-0.77
126.77-0.77
Sheet1
x
Residuals
x Residual Plot
Sheet2
y
Predicted y
x
y
x Line Fit Plot
Sheet3
-
Sheet1
xySUMMARY OUTPUT
22
222Regression Statistics
33Multiple R0.19
33R Square0.03
533Adjusted R Square-0.06
51Standard Error10.24
81Observations12
82
72ANOVA
15dfSSMSFSignificance F
56Regression137.7737.770.360.56
56Residual101047.90104.79
Total111085.67
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 90,0%Upper 90,0%
Intercept10.716.601.620.14-3.9925.41-1.2522.66
x-0.791.31-0.600.56-3.712.13-3.161.59
RESIDUAL OUTPUT
ObservationPredicted yResiduals
19.13-7.13
29.1312.87
38.35-5.35
48.35-5.35
56.7726.23
66.77-5.77
74.41-3.41
84.41-2.41
95.20-3.20
109.92-4.92
116.77-0.77
126.77-0.77
Sheet1
x
Residuals
x Residual Plot
Sheet2
y
Predicted y
x
y
x Line Fit Plot
Sheet3
-
Chart3
29.1338797814
229.1338797814
38.3469945355
38.3469945355
336.7732240437
16.7732240437
14.412568306
24.412568306
25.1994535519
59.9207650273
66.7732240437
66.7732240437
y
Predicted y
x
y
x Line Fit Plot
Sheet1
xySUMMARY OUTPUT
22
222Regression Statistics
33Multiple R0.19
33R Square0.03
533Adjusted R Square-0.06
51Standard Error10.24
81Observations12
82
72ANOVA
15dfSSMSFSignificance F
56Regression137.7737.770.360.56
56Residual101047.90104.79
Total111085.67
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 90,0%Upper 90,0%
Intercept10.716.601.620.14-3.9925.41-1.2522.66
x-0.791.31-0.600.56-3.712.13-3.161.59
RESIDUAL OUTPUT
ObservationPredicted yResiduals
19.13-7.13
29.1312.87
38.35-5.35
48.35-5.35
56.7726.23
66.77-5.77
74.41-3.41
84.41-2.41
95.20-3.20
109.92-4.92
116.77-0.77
126.77-0.77
Sheet1
x
Residuals
x Residual Plot
Sheet2
y
Predicted y
x
y
x Line Fit Plot
Sheet3
-
Chart2
-7.1338797814
12.8661202186
-5.3469945355
-5.3469945355
26.2267759563
-5.7732240437
-3.412568306
-2.412568306
-3.1994535519
-4.9207650273
-0.7732240437
-0.7732240437
x
Residuals
x Residual Plot
Sheet1
xySUMMARY OUTPUT
22
222Regression Statistics
33Multiple R0.19
33R Square0.03
533Adjusted R Square-0.06
51Standard Error10.24
81Observations12
82
72ANOVA
15dfSSMSFSignificance F
56Regression137.7737.770.360.56
56Residual101047.90104.79
Total111085.67
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 90,0%Upper 90,0%
Intercept10.716.601.620.14-3.9925.41-1.2522.66
x-0.791.31-0.600.56-3.712.13-3.161.59
RESIDUAL OUTPUT
ObservationPredicted yResiduals
19.13-7.13
29.1312.87
38.35-5.35
48.35-5.35
56.7726.23
66.77-5.77
74.41-3.41
84.41-2.41
95.20-3.20
109.92-4.92
116.77-0.77
126.77-0.77
Sheet1
x
Residuals
x Residual Plot
Sheet2
y
Predicted y
x
y
x Line Fit Plot
Sheet3
-
Sj skrna gqgn.xls dlka K og L
U21 hlutfall ungra kumanna, % me prf undir 21
Dauaslysa af 10.000
GQGN
karl_avkarl_kokarl_pekon_avkon_kokon_pedepNYNCHeilsau21daudaslsalestimepotenadvsharechangeacctsworkratingn_sconsANYNC
84.1234.664.7499.6737.2710.147000132.9623669.8843.174065.14582.92.510.3474.8615.054.901HH796
99.2165.6748.1470.1838.8223.5910001120.7083473.95108.1358117.35539.85.510.15107.3219.975.110HH2115
74.5159.3830.69138.4246.555.791200180.8852295.113.8221118.52950.410.91-0.7296.7517.342.900HH4812
17.9172.9936.0193.6854.1616.7819001121.6524675.56186.1868521.32243.18.270.17195.1213.43.401HH898
49.5964.4523.5120.8966.7619.7611001112.0916125.96161.7957805.17747.19.150.5180.4417.644.610HH569
79.7790.426.0289.6671.3110.572000172.6272134.948.9437806.9402.45.510.15104.8816.224.510HH777
29.3532.0919.2496.443.5714.34000183.835031.66365.0450935.33140.68.540.55256.118.84.611HH4106
83.3179.735.3779.5576.181300183.683367.45220.3235602.12086.27.07-0.49126.8319.862.300HH3104
115.9696.086.6867.9564.6814001131.1426519.45127.6446176.88846.212.541.24203.2517.424.900HH446
105.5441.5820.6151.8920.231700180.6454876.37105.6942053.25673.18.850.31119.5121.412.800HH1106
66.0936.7319.78130.4145.36800091.0282468.2757.7236829.72761.85.380.37116.2616.323.100HL101914
50.155.0898.854.335000162.8012533.3123.5833612.71991.85.43-0.65142.2814.514.201HL121014
97.2622.75104.6752.0711001121.4052408.1113.8221412.81971.58.480.6489.4319.354.300HL191720
51.2142.7290.0453.631800191.4332337.3813.8220416.91734.77.81.0184.5520.024.210HL111515
24.0877.6256.847000100.0394586.9586.993627210694.210.340.11119.5115.265.510HL131112
28.7688.17400090.3382729.24165.8523093.38618.65.150.0480.4915.873.610HL141216
127.343000111.8493289.4116.2626878.67747.96.640.68136.587.813.410HL172012
80.24000122.2462800.7842.28395724565.85.450.6678.86164.201HL111313
134.271000142.8553264.252.8451866.16022.76.31-0.1136.5817.443.610HL181215
75.549001142.3523453.62165.0458749.83721.16.35-0.03138.2117.983.100HL91510
86.349100111.2941741.4510.5723990.88617.37-1.6375.6120.991.601
108.719101174.12035.7513.8225694.93571.58.39-0.43102.4421.663.401
95.831010182.1915788.1323736.32845.55.150.0476.4221.462.701
111.9811100163.6234167.4458.4434314.35060.112.880.22136.5824.782.800
103.958100152.6232799.9721.1422809.535529.14-0.7488.6224.963.901
78.811710190.835
123.621510180.82
125.0111101142.89
66.44910081.267
114.426100153.224
132.317100101.014
62.2412101100.493
97.9320101141.443
90.1710100183.614
97.7213101101.926
112.6710100141.643
81.8512101162.943
15101121.913
4100152.814
10100132.634
1401190.926
14011173.256
20011
15011
6010
5010
12010
8010
12011
9010
16011
12011
7010
13011
6010
15011
4010
6010
6010
10011
&A
Page &P
-
a sem mli skipti tskriftinni er:
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
-1,09
0,47
-2,33
0,02
-2,03
-0,14
u21
0,25
0,04
6,83
0,00
0,18
0,33
Hr ssta bir stular eru vel marktkir, a er eim tilgtum a eir su 0 er hgt a hafna
_983911616.xls
Chart2
2.9622.187225413
0.7081.9352748535
0.8850.9274726153
1.6521.9352748535
2.0911.6833242939
2.6273.1950276511
3.833.4469782107
3.680.9274726153
1.1422.187225413
0.6450.9274726153
1.0281.1794231748
2.8012.9430770916
1.4051.9352748535
1.4331.1794231748
0.0391.4313737344
0.3381.1794231748
1.8491.6833242939
2.2461.9352748535
2.8552.4391759725
2.3522.4391759725
1.2941.6833242939
4.13.1950276511
2.190.9274726153
3.6232.9430770916
2.6232.6911265321
0.8351.1794231748
0.820.9274726153
2.892.4391759725
1.2670.9274726153
3.2242.6911265321
1.0141.4313737344
0.4931.4313737344
1.4432.4391759725
3.6143.4469782107
1.9261.4313737344
1.6432.4391759725
2.9432.9430770916
1.9131.9352748535
2.8142.6911265321
2.6342.187225413
0.9261.1794231748
3.2563.1950276511
daudasl
Predicted daudasl
u21
daudasl
u21 Besta lna
Sheet1
2.141.971.972.062.082.011.972.032.092.03555555560.0612599198
L=0.0470885733
1.95291142672.0470885733
2.2652346262
2.3060056265
24.5600.25
0.2650.028032431
-2.44716557410.2369675690.293032431
Sheet2
914717965710
x1x2x1x2
76.8890885207133.6219350073
30.948891096758.6162752975Mean68.330273850493.2618840047
102.480093462596.3466880116Standard Error14.021046950414.349269918
150.994256389556.1755916956Median58.560404456977.4814816546
147.3224602956116.8237668176Standard Deviation57.810257558245.3763757014
172.4572558738171.5433825361Sample Variance3342.02587894312059.01547179760.61609800350.26708768533.048754138
-11.628619060955.6282782477Kurtosis-0.8780534796-1.2716465702
79.9934815656142.9511473966Skewness0.41522605630.5466305213
142.466058721443.9826715287Range184.0858749347127.5607110074
39.925069475156.9291035085Minimum-11.628619060943.9826715287
58.5604044569Maximum172.4572558738171.5433825361
11.5496806098Sum1161.6146554565932.6188400473
4.1951881282Count1710
45.0514136243Confidence Level(95,0%)29.723285019632.4603284652
54.6451684637
-8.5427672024
64.307531036t-Test: Two-Sample Assuming Equal Variances
-44.04879204944.048792049
x1x2
Mean68.330273850493.2618840047
Variance3342.02587894312059.0154717976
Observations1710
Pooled Variance2880.1421323708
Hypothesized Mean Difference0
df25
t Stat-1.1656977168
P(T
-
Chart2
2.9622.187225413
0.7081.9352748535
0.8850.9274726153
1.6521.9352748535
2.0911.6833242939
2.6273.1950276511
3.833.4469782107
3.680.9274726153
1.1422.187225413
0.6450.9274726153
1.0281.1794231748
2.8012.9430770916
1.4051.9352748535
1.4331.1794231748
0.0391.4313737344
0.3381.1794231748
1.8491.6833242939
2.2461.9352748535
2.8552.4391759725
2.3522.4391759725
1.2941.6833242939
4.13.1950276511
2.190.9274726153
3.6232.9430770916
2.6232.6911265321
0.8351.1794231748
0.820.9274726153
2.892.4391759725
1.2670.9274726153
3.2242.6911265321
1.0141.4313737344
0.4931.4313737344
1.4432.4391759725
3.6143.4469782107
1.9261.4313737344
1.6432.4391759725
2.9432.9430770916
1.9131.9352748535
2.8142.6911265321
2.6342.187225413
0.9261.1794231748
3.2563.1950276511
daudasl
Predicted daudasl
u21
daudasl
u21 Besta lna
Sheet1
2.141.971.972.062.082.011.972.032.092.03555555560.0612599198
L=0.0470885733
1.95291142672.0470885733
2.2652346262
2.3060056265
24.5600.25
0.2650.028032431
-2.44716557410.2369675690.293032431
Sheet2
914717965710
x1x2x1x2
76.8890885207133.6219350073
30.948891096758.6162752975Mean68.330273850493.2618840047
102.480093462596.3466880116Standard Error14.021046950414.349269918
150.994256389556.1755916956Median58.560404456977.4814816546
147.3224602956116.8237668176Standard Deviation57.810257558245.3763757014
172.4572558738171.5433825361Sample Variance3342.02587894312059.01547179760.61609800350.26708768533.048754138
-11.628619060955.6282782477Kurtosis-0.8780534796-1.2716465702
79.9934815656142.9511473966Skewness0.41522605630.5466305213
142.466058721443.9826715287Range184.0858749347127.5607110074
39.925069475156.9291035085Minimum-11.628619060943.9826715287
58.5604044569Maximum172.4572558738171.5433825361
11.5496806098Sum1161.6146554565932.6188400473
4.1951881282Count1710
45.0514136243Confidence Level(95,0%)29.723285019632.4603284652
54.6451684637
-8.5427672024
64.307531036t-Test: Two-Sample Assuming Equal Variances
-44.04879204944.048792049
x1x2
Mean68.330273850493.2618840047
Variance3342.02587894312059.0154717976
Observations1710
Pooled Variance2880.1421323708
Hypothesized Mean Difference0
df25
t Stat-1.1656977168
P(T
-
Chart3
0.774774587
-1.2272748535
-0.0424726153
-0.2832748535
0.4076757061
-0.5680276511
0.3830217893
2.7525273847
-1.045225413
-0.2824726153
-0.1514231748
-0.1420770916
-0.5302748535
0.2535768252
-1.3923737344
-0.8414231748
0.1656757061
0.3107251465
0.4158240275
-0.0871759725
-0.3893242939
0.9049723489
1.2625273847
0.6799229084
-0.0681265321
-0.3444231748
-0.1074726153
0.4508240275
0.3395273847
0.5328734679
-0.4173737344
-0.9383737344
-0.9961759725
0.1670217893
0.4946262656
-0.7961759725
-0.0000770916
-0.0222748535
0.1228734679
0.446774587
-0.2534231748
0.0609723489
u21
Residuals
u21 Afgangsliir
Sheet1
2.141.971.972.062.082.011.972.032.092.03555555560.0612599198
L=0.0470885733
1.95291142672.0470885733
2.2652346262
2.3060056265
24.5600.25
0.2650.028032431
-2.44716557410.2369675690.293032431
Sheet2
914717965710
x1x2x1x2
76.8890885207133.6219350073
30.948891096758.6162752975Mean68.330273850493.2618840047
102.480093462596.3466880116Standard Error14.021046950414.349269918
150.994256389556.1755916956Median58.560404456977.4814816546
147.3224602956116.8237668176Standard Deviation57.810257558245.3763757014
172.4572558738171.5433825361Sample Variance3342.02587894312059.01547179760.61609800350.26708768533.048754138
-11.628619060955.6282782477Kurtosis-0.8780534796-1.2716465702
79.9934815656142.9511473966Skewness0.41522605630.5466305213
142.466058721443.9826715287Range184.0858749347127.5607110074
39.925069475156.9291035085Minimum-11.628619060943.9826715287
58.5604044569Maximum172.4572558738171.5433825361
11.5496806098Sum1161.6146554565932.6188400473
4.1951881282Count1710
45.0514136243Confidence Level(95,0%)29.723285019632.4603284652
54.6451684637
-8.5427672024
64.307531036t-Test: Two-Sample Assuming Equal Variances
-44.04879204944.048792049
x1x2
Mean68.330273850493.2618840047
Variance3342.02587894312059.0154717976
Observations1710
Pooled Variance2880.1421323708
Hypothesized Mean Difference0
df25
t Stat-1.1656977168
P(T
-
Sheet1
123456
O51578121360
E10101010101060
2.502.500.900.400.400.907.6011.07
3.113247131.9844674171
YMU
Karlar5035.78767123292548.801369863400475
Konur519.21232876715026.198630137200255
5575600730
5.64413056311.6083874069
10.51357653921.6234667383
16.15770710233.231854145249.38956124715.9914763568
Sheet2
Sheet4
SUMMARY OUTPUT
Regression Statistics
Multiple R0.9623839618
R Square0.9261828899
Adjusted R Square0.8734563826
Standard Error467.0973224143
Observations25
ANOVA
dfSSMSFSignificance F
Regression1038325030.20636413832503.0206364117.56579258430.0000030187
Residual143054518.72049195218179.908606568
Total2441379548.926856
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95,0%Upper 95,0%
Intercept-1512.2872269172810.6404943865-1.86554611740.0831977997-3250.9397144212226.3652605867-3250.9397144212226.3652605867
time2.32984932852.05343887921.13460855940.2755930382-2.07434296136.7340416183-2.07434296136.7340416183
poten0.03394804530.00940568543.60931116070.00284542870.01377483850.05412125210.01377483850.0541212521
adv0.1619321780.05065881033.19652548190.00646506020.05327973940.27058461660.05327973940.2705846166
share177.761072878679.6127643022.23282126220.04240412877.0085239382348.51362181897.0085239382348.5136218189
change267.9818019415213.11447130851.25745473920.2291610061-189.1036856814725.0672895644-189.1036856814725.0672895644
accts6.2652735.29546159251.18314010790.2564561576-5.092372632217.6229186322-5.092372632217.6229186322
work20.034613321935.66565368020.56173408460.5831787873-56.460673946496.5299005903-56.460673946496.5299005903
rating70.9695060286157.62872261490.45023206970.6594363544-267.1107805772409.0497926343-267.1107805772409.0497926343
n_s-251.9221935333298.0992982251-0.84509488960.4122680853-891.2821687273387.4377816607-891.2821687273387.4377816607
cons-50.0451517787272.582364307-0.18359644030.8569625832-634.67669811534.5863945526-634.67669811534.5863945526
RESIDUAL OUTPUT
ObservationPredicted salesResidualsStandard Residuals
13450.152431178219.7275688220.6159121561
23811.8433915345-337.8933915345-0.9471394438
32620.4111172274-325.3111172274-0.9118704253
44808.7144226483-133.1544226483-0.3732414098
55400.4927189276725.46728107242.0335368915
61926.3381155952208.60188440480.5847260637
75247.0681255713-215.4081255713-0.6038044465
83028.6713531804338.77864681960.9496208779
96316.7828436323202.66715636770.5680905947
104112.9142458212763.45575417882.14002131
112650.5911268467-182.3211268467-0.5110592128
122227.4791057133305.83089428670.8572659613
132498.1475443203-90.0375443203-0.2523817032
142128.0983979255209.28160207450.5866313611
154713.9135216818-126.9635216818-0.3558878697
162805.7173117825-76.4773117825-0.2143713975
173289.807902031-0.407902031-0.0011433787
182877.2866431305-76.5066431305-0.2144536154
193650.4005149506-386.2005149506-1.0825477801
204036.1323641542-582.5123641542-1.6328239925
211297.242304837444.2076951631.2451460723
222613.7423807423-577.9923807423-1.6201541543
231749.7297256702-171.7297256702-0.4813707546
244507.5675303888-340.1275303888-0.9534018955
252594.9448605092205.02513949080.5747001908
Sheet4
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
time
Residuals
time Residual Plot
Sheet3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
poten
Residuals
poten Residual Plot
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
adv
Residuals
adv Residual Plot
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
share
Residuals
share Residual Plot
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
change
Residuals
change Residual Plot
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
accts
Residuals
accts Residual Plot
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
work
Residuals
work Residual Plot
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
rating
Residuals
rating Residual Plot
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
n_s
Residuals
n_s Residual Plot
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
cons
Residuals
cons Residual Plot
3669.880
3473.950
2295.10
4675.560
6125.960
2134.940
5031.660
3367.450
6519.450
4876.370
2468.270
2533.310
2408.110
2337.380
4586.950
2729.240
3289.40
2800.780
3264.20
3453.620
1741.450
2035.750
15780
4167.440
2799.970
sales
Predicted sales
time
sales
time Line Fit Plot
3669.880
3473.950
2295.10
4675.560
6125.960
2134.940
5031.660
3367.450
6519.450
4876.370
2468.270
2533.310
2408.110
2337.380
4586.950
2729.240
3289.40
2800.780
3264.20
3453.620
1741.450
2035.750
15780
4167.440
2799.970
sales
Predicted sales
poten
sales
poten Line Fit Plot
3669.880
3473.950
2295.10
4675.560
6125.960
2134.940
5031.660
3367.450
6519.450
4876.370
2468.270
2533.310
2408.110
2337.380
4586.950
2729.240
3289.40
2800.780
3264.20
3453.620
1741.450
2035.750
15780
4167.440
2799.970
sales
Predicted sales
adv
sales
adv Line Fit Plot
3669.880
3473.950
2295.10
4675.560
6125.960
2134.940
5031.660
3367.450
6519.450
4876.370
2468.270
2533.310
2408.110
2337.380
4586.950
2729.240
3289.40
2800.780
3264.20
3453.620
1741.450
2035.750
15780
4167.440
2799.970
sales
Predicted sales
share
sales
share Line Fit Plot
3669.880
3473.950
2295.10
4675.560
6125.960
2134.940
5031.660
3367.450
6519.450
4876.370
2468.270
2533.310
2408.110
2337.380
4586.950
2729.240
3289.40
2800.780
3264.20
3453.620
1741.450
2035.750
15780
4167.440
2799.970
sales
Predicted sales
change
sales
change Line Fit Plot
3669.880
3473.950
2295.10
4675.560
6125.960
2134.940
5031.660
3367.450
6519.450
4876.370
2468.270
2533.310
2408.110
2337.380
4586.950
2729.240
3289.40
2800.780
3264.20
3453.620
1741.450
2035.750
15780
4167.440
2799.970
sales
Predicted sales
accts
sales
accts Line Fit Plot
3669.880
3473.950
2295.10
4675.560
6125.960
2134.940
5031.660
3367.450
6519.450
4876.370
2468.270
2533.310
2408.110
2337.380
4586.950
2729.240
3289.40
2800.780
3264.20
3453.620
1741.450
2035.750
15780
4167.440
2799.970
sales
Predicted sales
work
sales
work Line Fit Plot
3669.880
3473.950
2295.10
4675.560
6125.960
2134.940
5031.660
3367.450
6519.450
4876.370
2468.270
2533.310
2408.110
2337.380
4586.950
2729.240
3289.40
2800.780
3264.20
3453.620
1741.450
2035.750
15780
4167.440
2799.970
sales
Predicted sales
rating
sales
rating Line Fit Plot
3669.880
3473.950
2295.10
4675.560
6125.960
2134.940
5031.660
3367.450
6519.450
4876.370
2468.270
2533.310
2408.110
2337.380
4586.950
2729.240
3289.40
2800.780
3264.20
3453.620
1741.450
2035.750
15780
4167.440
2799.970
sales
Predicted sales
n_s
sales
n_s Line Fit Plot
3669.880
3473.950
2295.10
4675.560
6125.960
2134.940
5031.660
3367.450
6519.450
4876.370
2468.270
2533.310
2408.110
2337.380
4586.950
2729.240
3289.40
2800.780
3264.20
3453.620
1741.450
2035.750
15780
4167.440
2799.970
sales
Predicted sales
cons
sales
cons Line Fit Plot
salestimepotenadvsharechangeacctsworkratingn_scons
3669.8843.174065.14582.92.510.3474.8615.054.901
3473.95108.1358117.35539.85.510.15107.3219.975.110
2295.113.8221118.52950.410.91-0.7296.7517.342.900
4675.56186.1868521.32243.18.270.17195.1213.43.401
6125.96161.7957805.17747.19.150.5180.4417.644.610
2134.948.9437806.9402.45.510.15104.8816.224.510
5031.66365.0450935.33140.68.540.55256.118.84.611
3367.45220.3235602.12086.27.07-0.49126.8319.862.300
6519.45127.6446176.88846.212.541.24203.2517.424.900
4876.37105.6942053.25673.18.850.31119.5121.412.800
2468.2757.7236829.72761.85.380.37116.2616.323.100
2533.3123.5833612.71991.85.43-0.65142.2814.514.201
2408.1113.8221412.81971.58.480.6489.4319.354.300
2337.3813.8220416.91734.77.81.0184.5520.024.210
4586.9586.993627210694.210.340.11119.5115.265.510
2729.24165.8523093.38618.65.150.0480.4915.873.610
3289.4116.2626878.67747.96.640.68136.587.813.410
2800.7842.28395724565.85.450.6678.86164.201
3264.252.8451866.16022.76.31-0.1136.5817.443.610
3453.62165.0458749.83721.16.35-0.03138.2117.983.100
1741.4510.5723990.88617.37-1.6375.6120.991.601
2035.7513.8225694.93571.58.39-0.43102.4421.663.401
15788.1323736.32845.55.150.0476.4221.462.701
4167.4458.4434314.35060.112.880.22136.5824.782.800
2799.9721.1422809.535529.14-0.7488.6224.963.901
-
Sheet1
123456
O51578121360
E10101010101060
2.502.500.900.400.400.907.6011.07
3.113247131.9844674171
YMU
Karlar5035.78767123292548.801369863400475
Konur519.21232876715026.198630137200255
5575600730
5.64413056311.6083874069
10.51357653921.6234667383
16.15770710233.231854145249.38956124715.9914763568
Sheet2
Sheet4
SUMMARY OUTPUT
Regression Statistics
Multiple R0.9623839618
R Square0.9261828899
Adjusted R Square0.8734563826
Standard Error467.0973224143
Observations25
ANOVA
dfSSMSFSignificance F
Regression1038325030.20636413832503.0206364117.56579258430.0000030187
Residual143054518.72049195218179.908606568
Total2441379548.926856
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95,0%Upper 95,0%
Intercept-1512.29810.64-1.870.08-3250.94226.37-3250.94226.37
time2.332.051.130.28-2.076.73-2.076.73
poten0.030.013.610.000.010.050.010.05
adv0.160.053.200.010.050.270.050.27
share177.7679.612.230.047.01348.517.01348.51
change267.98213.111.260.23-189.10725.07-189.10725.07
accts6.275.301.180.26-5.0917.62-5.0917.62
work20.0335.670.560.58-56.4696.53-56.4696.53
rating70.97157.630.450.66-267.11409.05-267.11409.05
n_s-251.92298.10-0.850.41-891.28387.44-891.28387.44
cons-50.05272.58-0.180.86-634.68534.59-634.68534.59
RESIDUAL OUTPUT
ObservationPredicted salesResidualsStandard Residuals
13450.152431178219.7275688220.6159121561
23811.8433915345-337.8933915345-0.9471394438
32620.4111172274-325.3111172274-0.9118704253
44808.7144226483-133.1544226483-0.3732414098
55400.4927189276725.46728107242.0335368915
61926.3381155952208.60188440480.5847260637
75247.0681255713-215.4081255713-0.6038044465
83028.6713531804338.77864681960.9496208779
96316.7828436323202.66715636770.5680905947
104112.9142458212763.45575417882.14002131
112650.5911268467-182.3211268467-0.5110592128
122227.4791057133305.83089428670.8572659613
132498.1475443203-90.0375443203-0.2523817032
142128.0983979255209.28160207450.5866313611
154713.9135216818-126.9635216818-0.3558878697
162805.7173117825-76.4773117825-0.2143713975
173289.807902031-0.407902031-0.0011433787
182877.2866431305-76.5066431305-0.2144536154
193650.4005149506-386.2005149506-1.0825477801
204036.1323641542-582.5123641542-1.6328239925
211297.242304837444.2076951631.2451460723
222613.7423807423-577.9923807423-1.6201541543
231749.7297256702-171.7297256702-0.4813707546
244507.5675303888-340.1275303888-0.9534018955
252594.9448605092205.02513949080.5747001908
Sheet4
43.1
108.13
13.82
186.18
161.79
8.94
365.04
220.32
127.64
105.69
57.72
23.58
13.82
13.82
86.99
165.85
116.26
42.28
52.84
165.04
10.57
13.82
8.13
58.44
21.14
time
Residuals
time Residual Plot
Sheet3
74065.1
58117.3
21118.5
68521.3
57805.1
37806.9
50935.3
35602.1
46176.8
42053.2
36829.7
33612.7
21412.8
20416.9
36272
23093.3
26878.6
39572
51866.1
58749.8
23990.8
25694.9
23736.3
34314.3
22809.5
poten
Residuals
poten Residual Plot
4582.9
5539.8
2950.4
2243.1
7747.1
402.4
3140.6
2086.2
8846.2
5673.1
2761.8
1991.8
1971.5
1734.7
10694.2
8618.6
7747.9
4565.8
6022.7
3721.1
861
3571.5
2845.5
5060.1
3552
adv
Residuals
adv Residual Plot
2.51
5.51
10.91
8.27
9.15
5.51
8.54
7.07
12.54
8.85
5.38
5.43
8.48
7.8
10.34
5.15
6.64
5.45
6.31
6.35
7.37
8.39
5.15
12.88
9.14
share
Residuals
share Residual Plot
0.34
0.15
-0.72
0.17
0.5
0.15
0.55
-0.49
1.24
0.31
0.37
-0.65
0.64
1.01
0.11
0.04
0.68
0.66
-0.1
-0.03
-1.63
-0.43
0.04
0.22
-0.74
change
Residuals
change Residual Plot
74.86
107.32
96.75
195.12
180.44
104.88
256.1
126.83
203.25
119.51
116.26
142.28
89.43
84.55
119.51
80.49
136.58
78.86
136.58
138.21
75.61
102.44
76.42
136.58
88.62
accts
Residuals
accts Residual Plot
15.05
19.97
17.34
13.4
17.64
16.22
18.8
19.86
17.42
21.41
16.32
14.51
19.35
20.02
15.26
15.87
7.81
16
17.44
17.98
20.99
21.66
21.46
24.78
24.96
work
Residuals
work Residual Plot
219.727568822
-337.8933915345
-325.3111172274
-133.1544226483
725.4672810724
208.6018844048
-215.4081255713
338.7786468196
202.6671563677
763.4557541788
-182.3211268467
305.8308942867
-90.0375443203
209.2816020745
-126.9635216818
-76.4773117825
-0.407902031
-76.5066431305
-386.2005149506
-582.5123641542
444.207695163
-577.9923807423
-171.7297256702
-340.1275303888
205.0251394908
rating
Residuals
rating Residual Plot
219.727568822
-337.8933915345
-325.3111172274
-133.1544226483
725.4672810724
208.6018844048
-215.4081255713
338.7786468196
202.6671563677
763.4557541788
-182.3211268467
305.8308942867
-90.0375443203
209.2816020745
-126.9635216818
-76.4773117825
-0.407902031
-76.5066431305
-386.2005149506
-582.5123641542
444.207695163
-577.9923807423
-171.7297256702
-340.1275303888
205.0251394908
n_s
Residuals
n_s Residual Plot
219.727568822
-337.8933915345
-325.3111172274
-133.1544226483
725.4672810724
208.6018844048
-215.4081255713
338.7786468196
202.6671563677
763.4557541788
-182.3211268467
305.8308942867
-90.0375443203
209.2816020745
-126.9635216818
-76.4773117825
-0.407902031
-76.5066431305
-386.2005149506
-582.5123641542
444.207695163
-577.9923807423
-171.7297256702
-340.1275303888
205.0251394908
cons
Residuals
cons Residual Plot
3669.883450.152431178
3473.953811.8433915345
2295.12620.4111172274
4675.564808.7144226483
6125.965400.4927189276
2134.941926.3381155952
5031.665247.0681255713
3367.453028.6713531804
6519.456316.7828436323
4876.374112.9142458212
2468.272650.5911268467
2533.312227.4791057133
2408.112498.1475443203
2337.382128.0983979255
4586.954713.9135216818
2729.242805.7173117825
3289.43289.807902031
2800.782877.2866431305
3264.23650.4005149506
3453.624036.1323641542
1741.451297.242304837
2035.752613.7423807423
15781749.7297256702
4167.444507.5675303888
2799.972594.9448605092
sales
Predicted sales
time
sales
time Line Fit Plot
3669.883450.152431178
3473.953811.8433915345
2295.12620.4111172274
4675.564808.7144226483
6125.965400.4927189276
2134.941926.3381155952
5031.665247.0681255713
3367.453028.6713531804
6519.456316.7828436323
4876.374112.9142458212
2468.272650.5911268467
2533.312227.4791057133
2408.112498.1475443203
2337.382128.0983979255
4586.954713.9135216818
2729.242805.7173117825
3289.43289.807902031
2800.782877.2866431305
3264.23650.4005149506
3453.624036.1323641542
1741.451297.242304837
2035.752613.7423807423
15781749.7297256702
4167.444507.5675303888
2799.972594.9448605092
sales
Predicted sales
poten
sales
poten Line Fit Plot
3669.883450.152431178
3473.953811.8433915345
2295.12620.4111172274
4675.564808.7144226483
6125.965400.4927189276
2134.941926.3381155952
5031.665247.0681255713
3367.453028.6713531804
6519.456316.7828436323
4876.374112.9142458212
2468.272650.5911268467
2533.312227.4791057133
2408.112498.1475443203
2337.382128.0983979255
4586.954713.9135216818
2729.242805.7173117825
3289.43289.807902031
2800.782877.2866431305
3264.23650.4005149506
3453.624036.1323641542
1741.451297.242304837
2035.752613.7423807423
15781749.7297256702
4167.444507.5675303888
2799.972594.9448605092
sales
Predicted sales
adv
sales
adv Line Fit Plot
3669.883450.152431178
3473.953811.8433915345
2295.12620.4111172274
4675.564808.7144226483
6125.965400.4927189276
2134.941926.3381155952
5031.665247.0681255713
3367.453028.6713531804
6519.456316.7828436323
4876.374112.9142458212
2468.272650.5911268467
2533.312227.4791057133
2408.112498.1475443203
2337.382128.0983979255
4586.954713.9135216818
2729.242805.7173117825
3289.43289.807902031
2800.782877.2866431305
3264.23650.4005149506
3453.624036.1323641542
1741.451297.242304837
2035.752613.7423807423
15781749.7297256702
4167.444507.5675303888
2799.972594.9448605092
sales
Predicted sales
share
sales
share Line Fit Plot
3669.883450.152431178
3473.953811.8433915345
2295.12620.4111172274
4675.564808.7144226483
6125.965400.4927189276
2134.941926.3381155952
5031.665247.0681255713
3367.453028.6713531804
6519.456316.7828436323
4876.374112.9142458212
2468.272650.5911268467
2533.312227.4791057133
2408.112498.1475443203
2337.382128.0983979255
4586.954713.9135216818
2729.242805.7173117825
3289.43289.807902031
2800.782877.2866431305
3264.23650.4005149506
3453.624036.1323641542
1741.451297.242304837
2035.752613.7423807423
15781749.7297256702
4167.444507.5675303888
2799.972594.9448605092
sales
Predicted sales
change
sales
change Line Fit Plot
3669.883450.152431178
3473.953811.8433915345
2295.12620.4111172274
4675.564808.7144226483
6125.965400.4927189276
2134.941926.3381155952
5031.665247.0681255713
3367.453028.6713531804
6519.456316.7828436323
4876.374112.9142458212
2468.272650.5911268467
2533.312227.4791057133
2408.112498.1475443203
2337.382128.0983979255
4586.954713.9135216818
2729.242805.7173117825
3289.43289.807902031
2800.782877.2866431305
3264.23650.4005149506
3453.624036.1323641542
1741.451297.242304837
2035.752613.7423807423
15781749.7297256702
4167.444507.5675303888
2799.972594.9448605092
sales
Predicted sales
accts
sales
accts Line Fit Plot
3669.883450.152431178
3473.953811.8433915345
2295.12620.4111172274
4675.564808.7144226483
6125.965400.4927189276
2134.941926.3381155952
5031.665247.0681255713
3367.453028.6713531804
6519.456316.7828436323
4876.374112.9142458212
2468.272650.5911268467
2533.312227.4791057133
2408.112498.1475443203
2337.382128.0983979255
4586.954713.9135216818
2729.242805.7173117825
3289.43289.807902031
2800.782877.2866431305
3264.23650.4005149506
3453.624036.1323641542
1741.451297.242304837
2035.752613.7423807423
15781749.7297256702
4167.444507.5675303888
2799.972594.9448605092
sales
Predicted sales
work
sales
work Line Fit Plot
3669.883450.152431178
3473.953811.8433915345
2295.12620.4111172274
4675.564808.7144226483
6125.965400.4927189276
2134.941926.3381155952
5031.665247.0681255713
3367.453028.6713531804
6519.456316.7828436323
4876.374112.9142458212
2468.272650.5911268467
2533.312227.4791057133
2408.112498.1475443203
2337.382128.0983979255
4586.954713.9135216818
2729.242805.7173117825
3289.43289.807902031
2800.782877.2866431305
3264.23650.4005149506
3453.624036.1323641542
1741.451297.242304837
2035.752613.7423807423
15781749.7297256702
4167.444507.5675303888
2799.972594.9448605092
sales
Predicted sales
rating
sales
rating Line Fit Plot
3669.883450.152431178
3473.953811.8433915345
2295.12620.4111172274
4675.564808.7144226483
6125.965400.4927189276
2134.941926.3381155952
5031.665247.0681255713
3367.453028.6713531804
6519.456316.7828436323
4876.374112.9142458212
2468.272650.5911268467
2533.312227.4791057133
2408.112498.1475443203
2337.382128.0983979255
4586.954713.9135216818
2729.242805.7173117825
3289.43289.807902031
2800.782877.2866431305
3264.23650.4005149506
3453.624036.1323641542
1741.451297.242304837
2035.752613.7423807423
15781749.7297256702
4167.444507.5675303888
2799.972594.9448605092
sales
Predicted sales
n_s
sales
n_s Line Fit Plot
3669.883450.152431178
3473.953811.8433915345
2295.12620.4111172274
4675.564808.7144226483
6125.965400.4927189276
2134.941926.3381155952
5031.665247.0681255713
3367.453028.6713531804
6519.456316.7828436323
4876.374112.9142458212
2468.272650.5911268467
2533.312227.4791057133
2408.112498.1475443203
2337.382128.0983979255
4586.954713.9135216818
2729.242805.7173117825
3289.43289.807902031
2800.782877.2866431305
3264.23650.4005149506
3453.624036.1323641542
1741.451297.242304837
2035.752613.7423807423
15781749.7297256702
4167.444507.5675303888
2799.972594.9448605092
sales
Predicted sales
cons
sales
cons Line Fit Plot
salestimepotenadvsharechangeacctsworkratingn_scons
3669.8843.174065.14582.92.510.3474.8615.054.901
3473.95108.1358117.35539.85.510.15107.3219.975.110
2295.113.8221118.52950.410.91-0.7296.7517.342.900
4675.56186.1868521.32243.18.270.17195.1213.43.401
6125.96161.7957805.17747.19.150.5180.4417.644.610
2134.948.9437806.9402.45.510.15104.8816.224.510
5031.66365.0450935.33140.68.540.55256.118.84.611
3367.45220.3235602.12086.27.07-0.49126.8319.862.300
6519.45127.6446176.88846.212.541.24203.2517.424.900
4876.37105.6942053.25673.18.850.31119.5121.412.800
2468.2757.7236829.72761.85.380.37116.2616.323.100
2533.3123.5833612.71991.85.43-0.65142.2814.514.201
2408.1113.8221412.81971.58.480.6489.4319.354.300
2337.3813.8220416.91734.77.81.0184.5520.024.210
4586.9586.993627210694.210.340.11119.5115.265.510
2729.24165.8523093.38618.65.150.0480.4915.873.610
3289.4116.2626878.67747.96.640.68136.587.813.410
2800.7842.28395724565.85.450.6678.86164.201
3264.252.8451866.16022.76.31-0.1136.5817.443.610
3453.62165.0458749.83721.16.35-0.03138.2117.983.100
1741.4510.5723990.88617.37-1.6375.6120.991.601
2035.7513.8225694.93571.58.39-0.43102.4421.663.401
15788.1323736.32845.55.150.0476.4221.462.701
4167.4458.4434314.35060.112.880.22136.5824.782.800
2799.9721.1422809.535529.14-0.7488.6224.963.901
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Raflttur - Fjldi raa me k stkum, sem hgt er a mynda r n stkum er
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Hr skal finna hve marga vegu hgt er a skipa 3 manna stjrn sem valin er r hpi 5 mannna, ar sem mli skiptir hver er ritari, gjaldkeri og hver formaur
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Veljum einhverja 3 menn af 5.
Flttur - Fjldi hpa me k stkum sem hgt er amynda r n stkum
