cohesion versus pi.doc
TRANSCRIPT
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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$e analsis/
Snta C.',3FI
5,A'IA73SCO3SIO% "I 9I
5CO%SA%
5+OD377I%3A' 7OA'I+IC
I%,3'S3 ;.AD'AIC C.IC
CO+9O.%D 9O"3' S 'O"
3S3? Amount o& Output 9'I% D3FA.7
Savin# %e( ,ariales %3",A' %O%3
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+aimum %umer o& 7a#s in
Autocorrelation or 9artial
Autocorrelation 9lots
+
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8 Sa
ro(t$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$e
analsis/
Variable Processing Summary
,ariales
Dependent Independent
CO3SIO% 9I
%umer o& 9ositive ,alues * *
%umer o& eros 0 0
%umer o& %e#ative ,alues 0 0
%umer o& +issin# ,alues .ser-+issin# 0 0
Sstem-+issin# 0 0
COHESION
inear
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Model Summary
' ' SBuare
AdEusted '
SBuare
Std/ 3rror o& t$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
$e independent variale is 9I/
Coe""icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ 3rror eta
9I -/=66 /610 -/=28 -/601 /*0
>Constant? 40/@1@ 1/8@0 2/04 /1==
ogarit#mic
Model Summary
' ' SBuare
AdEusted '
SBuare
Std/ 3rror o& t$e
3stimate
/=60 /12 -/161 =/**
$e independent variale is 9I/
!NOV!
Sum o& SBuares d& +ean SBuare F Si#/
'e#ression */644 1 */644 /446 /**2
'esidual =8/004 = 12/668
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otal 4=/648 4
$e independent variale is 9I/
Coe""icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ 3rror eta
ln>9I? -1=/=10 1/41 -/=60 -/66@ /**2
>Constant? @*/08 6/=*= 1/08= /=*8
Inverse
Model Summary
' ' SBuare
AdEusted '
SBuare
Std/ 3rror o& t$e
3stimate
/=1 /1*= -/12 =/*10
$e independent variale is 9I/
!NOV!
Sum o& SBuares d& +ean SBuare F Si#/
'e#ression 6/681 1 6/681 /*42 /*1*
'esidual =6/6@ = 12/=22
otal 4=/648 4
$e independent variale is 9I/
Coe""icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ 3rror eta
1 5 9I 4@6/4= 64@/@16 /=1 /@=6 /*1*
>Constant? 14/0=@ 20/1=8 /6@ /*=6
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$uadratic
Model Summary
' ' SBuare
AdEusted '
SBuare
Std/ 3rror o& t$e
3stimate
/1 /82 /6* /621
$e independent variale is 9I/
!NOV!
Sum o& SBuares d& +ean SBuare F Si#/
'e#ression 42/8@8 2 21/4= **/6*2 /018
'esidual /@@0 2 /=8*
otal 4=/648 4
$e independent variale is 9I/
Coe""icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ 3rror eta
9I -=1/2=4 =/102 -2@/=2 -10/06 /010
9I GG 2 /464 /04@ 2@/620 /*@ /010
>Constant? **0/==6 *1/2@ 10/@28 /00
Cubic
Model Summary
' ' SBuare
AdEusted '
SBuare
Std/ 3rror o& t$e
3stimate
/2 /8= /66 /606
$e independent variale is 9I/
!NOV!
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Sum o& SBuares d& +ean SBuare F Si#/
'e#ression 42/14 2 21/4*@ *8/4*1 /01@
'esidual /@=4 2 /=6@
otal 4=/648 4
$e independent variale is 9I/
Coe""icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ 3rror eta
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
$e independent variale is 9I/
!NOV!
Sum o& SBuares d& +ean SBuare F Si#/
'e#ression /00* 1 /00* /=20 /611
'esidual /048 = /016
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otal /0*= 4
$e independent variale is 9I/
Coe""icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ 3rror eta
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*
$e independent variale is 9I/
!NOV!
Sum o& SBuares d& +ean SBuare F Si#/
'e#ression /006 1 /006 /= /*@=
'esidual /04@ = /016
otal /0*= 4
$e independent variale is 9I/
Coe""icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ 3rror eta
ln>9I? -/442 /@00 -/=4= -/6=2 /*@=
>Constant? 1==/=@8 =24/@66 /411 /@0
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$e dependent variale is ln>CO3SIO%?/
S
Model Summary
' ' SBuare
AdEusted '
SBuare
Std/ 3rror o& t$e
3stimate
/=@4 /140 -/14@ /12=
$e independent variale is 9I/
!NOV!
Sum o& SBuares d& +ean SBuare F Si#/
'e#ression /00@ 1 /00@ /48 /*=*
'esidual /046 = /01*
otal /0*= 4
$e independent variale is 9I/
Coe""icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ 3rror eta
1 5 9I 1*/10 22/@* /=@4 /6 /*=*
>Constant? 2/86= /@08 4/046 /02@
$e dependent variale is ln>CO3SIO%?/
(ro't#
Model Summary
' ' SBuare
AdEusted '
SBuare
Std/ 3rror o& t$e
3stimate
/=11 /06 -/20* /126
$e independent variale is 9I/
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!NOV!
Sum o& SBuares d& +ean SBuare F Si#/
'e#ression /00* 1 /00* /=20 /611
'esidual /048 = /016
otal /0*= 4
$e independent variale is 9I/
Coe""icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ 3rror eta
9I -/012 /021 -/=11 -/*66 /611
>Constant? =/@4 /6@ */=@8 /01=
$e dependent variale is ln>CO3SIO%?/
E%ponential
Model Summary
' ' SBuare
AdEusted '
SBuare
Std/ 3rror o& t$e
3stimate
/=11 /06 -/20* /126
$e independent variale is 9I/
!NOV!
Sum o& SBuares d& +ean SBuare F Si#/
'e#ression /00* 1 /00* /=20 /611
'esidual /048 = /016
otal /0*= 4
$e independent variale is 9I/
Coe""icients
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