cohesion versus PI.doc

7/17/2019 cohesion versus PI.doc

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* Curve Estimation.

TSET NEWVAR=NONE.

CURVEFIT

/VARIABLES=COESION WIT !I

/CONSTANT

/"O#EL=LINEAR LO$ARIT"IC INVERSE %UA#RATIC CUBIC CO"!OUN# !OWER S $ROWT E&!ONENTIAL L$STIC

/!RINT ANOVA

/!LOT FIT.

Curve Fit

Notes

Output Created 24-Oct-2014 06:22:18

Comments

Input Active Dataset DataSet0

Filter none!

"ei#$t none!

Split File none!

% o& 'o(s in "or)in# Data

File*

+issin# ,alue andlin# De&inition o& +issin# .ser-de&ined missin# values are treated

as missin#/

Cases .sed Cases (it$ a missin# value in an

variale are not used in t$e analsis/

Snta C.',3FI

5,A'IA73SCO3SIO% "I 9I

5CO%SA%

5+OD377I%3A' 7OA'I+IC

I%,3'S3 ;.AD'AIC C.IC

CO+9O.%D 9O"3' S 'O"

3S3? Amount o& Output 9'I% D3FA.7

Savin# %e( ,ariales %3",A' %O%3


2/12

+aimum %umer o& 7a#s in

Autocorrelation or 9artial

Autocorrelation 9lots

+


3/12

8 Sa

ro(t$a

10 3ponentiala

11 7o#istica

Independent ,ariale 9I

Constant Included

,ariale "$ose ,alues 7ael Oservations in 9lots .nspeci&ied

olerance &or 3nterin# erms in 3Buations /0001

a/ $e model reBuires all non-missin# values to e positive/

Case Processing Summary

%

otal Cases *

3cluded Casesa 0

Forecasted Cases 0

%e(l Created Cases 0

a/ Cases (it$ a missin# value in an

variale are ecluded &rom t$e

analsis/

Variable Processing Summary

,ariales

Dependent Independent

CO3SIO% 9I

%umer o& 9ositive ,alues * *

%umer o& eros 0 0

%umer o& %e#ative ,alues 0 0

%umer o& +issin# ,alues .ser-+issin# 0 0

Sstem-+issin# 0 0

COHESION

inear


4/12

Model Summary

' ' SBuare

AdEusted '

SBuare

Std/ 3rror o& t$e

3stimate

/=28 /10@ -/10 =/604

$e independent variale is 9I/

!NOV!

Sum o& SBuares d& +ean SBuare F Si#/

'e#ression 4/68@ 1 4/68@ /=61 /*0

'esidual =8/61 = 12/8@

otal 4=/648 4


Coe""icients

.nstandardied Coe&&icients

Standardied

Coe&&icients

t Si#/ Std/ 3rror eta

9I -/=66 /610 -/=28 -/601 /*0

>Constant? 40/@1@ 1/8@0 2/04 /1==

ogarit#mic

Model Summary

' ' SBuare

AdEusted '

SBuare

Std/ 3rror o& t$e

3stimate

/=60 /12 -/161 =/**


!NOV!


'e#ression */644 1 */644 /446 /**2

'esidual =8/004 = 12/668


5/12

otal 4=/648 4


Coe""icients


Standardied

Coe&&icients


ln>9I? -1=/=10 1/41 -/=60 -/66@ /**2

>Constant? @*/08 6/=*= 1/08= /=*8

Inverse

Model Summary

' ' SBuare

AdEusted '

SBuare

Std/ 3rror o& t$e

3stimate

/=1 /1*= -/12 =/*10


!NOV!


'e#ression 6/681 1 6/681 /*42 /*1*

'esidual =6/6@ = 12/=22

otal 4=/648 4


Coe""icients


Standardied

Coe&&icients


1 5 9I 4@6/4= 64@/@16 /=1 /@=6 /*1*

>Constant? 14/0=@ 20/1=8 /6@ /*=6


6/12

$uadratic

Model Summary

' ' SBuare

AdEusted '

SBuare

Std/ 3rror o& t$e

3stimate

/1 /82 /6* /621


!NOV!


'e#ression 42/8@8 2 21/4= **/6*2 /018

'esidual /@@0 2 /=8*

otal 4=/648 4


Coe""icients


Standardied

Coe&&icients


9I -=1/2=4 =/102 -2@/=2 -10/06 /010

9I GG 2 /464 /04@ 2@/620 /*@ /010

>Constant? **0/==6 *1/2@ 10/@28 /00

Cubic

Model Summary

' ' SBuare

AdEusted '

SBuare

Std/ 3rror o& t$e

3stimate

/2 /8= /66 /606


!NOV!


7/12


'e#ression 42/14 2 21/4*@ *8/4*1 /01@

'esidual /@=4 2 /=6@

otal 4=/648 4


Coe""icients


Standardied

Coe&&icients


9I -1*/*2 1/*=1 -14/26* -10/421 /00

9I GG = /00* /000 1=/6 10/20* /00

>Constant? =8=/262 ==/@=4 11/=61 /008

E%cluded &erms

eta In t Si#/

9artial

Correlation

+inimum

olerance

9I GG 2a -=/618 -/164 /86 -/162 /000

a/ $e tolerance limit &or enterin# variales is reac$ed/

Compound

Model Summary

' ' SBuare

AdEusted '

SBuare

Std/ 3rror o& t$e

3stimate

/=11 /06 -/20* /126


!NOV!


'e#ression /00* 1 /00* /=20 /611

'esidual /048 = /016


8/12

otal /0*= 4


Coe""icients


Standardied

Coe&&icients


9I /88 /021 /@== 46/@=1 /000

>Constant? 42/480 2/612 1/4=* /24@

$e dependent variale is ln>CO3SIO%?/

Po'er

Model Summary

' ' SBuare

AdEusted '

SBuare

Std/ 3rror o& t$e

3stimate

/=4= /11@ -/1@@ /12*


!NOV!


'e#ression /006 1 /006 /= /*@=

'esidual /04@ = /016

otal /0*= 4


Coe""icients


Standardied

Coe&&icients


ln>9I? -/442 /@00 -/=4= -/6=2 /*@=

>Constant? 1==/=@8 =24/@66 /411 /@0


9/12


S

Model Summary

' ' SBuare

AdEusted '

SBuare

Std/ 3rror o& t$e

3stimate

/=@4 /140 -/14@ /12=


!NOV!


'e#ression /00@ 1 /00@ /48 /*=*

'esidual /046 = /01*

otal /0*= 4


Coe""icients


Standardied

Coe&&icients


1 5 9I 1*/10 22/@* /=@4 /6 /*=*

>Constant? 2/86= /@08 4/046 /02@


(ro't#

Model Summary

' ' SBuare

AdEusted '

SBuare

Std/ 3rror o& t$e

3stimate

/=11 /06 -/20* /126



10/12

!NOV!


'e#ression /00* 1 /00* /=20 /611

'esidual /048 = /016

otal /0*= 4


Coe""icients


Standardied

Coe&&icients


9I -/012 /021 -/=11 -/*66 /611

>Constant? =/@4 /6@ */=@8 /01=


E%ponential

Model Summary

' ' SBuare

AdEusted '

SBuare

Std/ 3rror o& t$e

3stimate

/=11 /06 -/20* /126


!NOV!


'e#ression /00* 1 /00* /=20 /611

'esidual /048 = /016

otal /0*= 4


Coe""icients


11/12


12/12

cohesion versus PI.doc

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