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Models for soil engineering
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7/17/2019 regression of angle with pi.doc
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* Curve Estimation.
TSET NEWVAR=NONE.
CURVEFIT
/VARIABLES=ANLE WIT! "I
/CONSTANT
/#O$EL=LINEAR LOARIT!#IC INVERSE %UA$RATIC CUBIC CO#"OUN$ "OWER S ROWT! E&"ONENTIAL LSTIC
/"RINT ANOVA
/"LOT FIT.
Curve Fit
Notes
Output Created 24-Oct-2014 06:44:36
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$e analsis/
Snta C.',FI
5,A'IA7S8A%97 "I I
5CO%SA%
5+OD787I%A' 7O9A'I+IC
I%,'S ;.AD'AIC C.IC
CO+O.%D O"' S 9'O"
Amount o& Output 'I% 8 DFA.7
Savin# %e( ,ariales %",A' 8 %O%
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+aimum %umer o& 7a#s in
Autocorrelation or artial
Autocorrelation lots
+
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Sa
@ 9ro(t$a
10 ponentiala
11 7o#istica
Independent ,ariale I
Constant Included
,ariale "$ose ,alues 7ael Oservations in lots .nspeci&ied
olerance &or nterin# erms in uations /0001
a/ $e model reuires all non-missin# values to e positive/
Case Processing Summary
%
otal Cases *
cluded Casesa 0
Forecasted Cases 0
%e(l Created Cases 0
a/ Cases (it$ a missin# value in an
variale are ecluded &rom t$e
analsis/
Variable Processing Summary
,ariales
Dependent Independent
A%97 I
%umer o& ositive ,alues * *
%umer o& eros 0 0
%umer o& %e#ative ,alues 0 0
%umer o& +issin# ,alues .ser-+issin# 0 0
Sstem-+issin# 0 0
ANGLE
Linear
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Model Summary
' ' Suare
AdEusted '
Suare
Std/ rror o& t$e
stimate
/*32 /23 /043 2/?@0
$e independent variale is I/
ANVA
Sum o& Suares d& +ean Suare F Si#/
'e#ression @/1@ 1 @/1@ 1/12 /3*?
'esidual 23/34? 3 ?/?2
otal 32/*44 4
$e independent variale is I/
Coe!!icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ rror eta
I /*13 /4?2 /*32 1/0? /3*?
=Constant> 16/162 1*/31 1/0*1 /3?1
Logarit"mic
Model Summary
' ' Suare
AdEusted '
Suare
Std/ rror o& t$e
stimate
/**@ /313 /04 2/?31
$e independent variale is I/
ANVA
Sum o& Suares d& +ean Suare F Si#/
'e#ression 10/1?6 1 10/1?6 1/36* /32?
'esidual 22/36@ 3 ?/4*6
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otal 32/*44 4
$e independent variale is I/
Coe!!icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ rror eta
ln=I> 1?/?2 1*/2@ /**@ 1/16 /32?
=Constant> -2@/312 *3/20? -/**1 /620
#nverse
Model Summary
' ' Suare
AdEusted '
Suare
Std/ rror o& t$e
stimate
/*6 /344 /12* 2/66
$e independent variale is I/
ANVA
Sum o& Suares d& +ean Suare F Si#/
'e#ression 11/1? 1 11/1? 1/*?1 /2@@
'esidual 21/3* 3 ?/11@
otal 32/*44 4
$e independent variale is I/
Coe!!icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ rror eta
1 5 I -61?/1*3 4@2/32@ -/*6 -1/2*4 /2@@
=Constant> *1/@*? 1*/30? 3/3@4 /043
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$uadratic
Model Summary
' ' Suare
AdEusted '
Suare
Std/ rror o& t$e
stimate
/@6@ /@3 /?? 1/002
$e independent variale is I/
ANVA
Sum o& Suares d& +ean Suare F Si#/
'e#ression 30/*3? 2 1*/26@ 1*/21* /062
'esidual 2/00? 2 1/004
otal 32/*44 4
$e independent variale is I/
Coe!!icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ rror eta
I 23/*? */00? 24/42 4/?11 /042
I GG 2 -/34? /0?* -23/@10 -4/611 /044
=Constant> -364/?2 2/?@4 -4/406 /04
Cubic
Model Summary
' ' Suare
AdEusted '
Suare
Std/ rror o& t$e
stimate
/@6@ /@3 /?? 1/002
$e independent variale is I/
ANVA
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Sum o& Suares d& +ean Suare F Si#/
'e#ression 30/*3? 2 1*/26@ 1*/21* /062
'esidual 2/00? 2 1/004
otal 32/*44 4
$e independent variale is I/
Coe!!icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ rror eta
I 23/*? */00? 24/42 4/?11 /042
I GG 2 -/34? /0?* -23/@10 -4/611 /044
=Constant> -364/?2 2/?@4 -4/406 /04
E%cluded &erms
eta In t Si#/
artial
Correlation
+inimum
olerance
I GG 3a 30/301 /12@ /@1 /12 /000
a/ $e tolerance limit &or enterin# variales is reac$ed/
Compound
Model Summary
' ' Suare
AdEusted '
Suare
Std/ rror o& t$e
stimate
/*41 /2@2 /0*6 /0?
$e independent variale is I/
ANVA
Sum o& Suares d& +ean Suare F Si#/
'e#ression /00@ 1 /00@ 1/23@ /34?
'esidual /023 3 /00
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otal /032 4
$e independent variale is I/
Coe!!icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ rror eta
I 1/01? /01* 1/?1? 6?/@24 /000
=Constant> 1@/220 @/21 2/0* /12
$e dependent variale is ln=A%97>/
Po'er
Model Summary
' ' Suare
AdEusted '
Suare
Std/ rror o& t$e
stimate
/*6 /323 /0@? /0*
$e independent variale is I/
ANVA
Sum o& Suares d& +ean Suare F Si#/
'e#ression /010 1 /010 1/42@ /31
'esidual /022 3 /00?
otal /032 4
$e independent variale is I/
Coe!!icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ rror eta
ln=I> /*?0 /4?? /*6 1/1@* /31
=Constant> 4/*11 ?/40 /603 /*@
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$e dependent variale is ln=A%97>/
S
Model Summary
' ' Suare
AdEusted '
Suare
Std/ rror o& t$e
stimate
/*@* /3*4 /13@ /03
$e independent variale is I/
ANVA
Sum o& Suares d& +ean Suare F Si#/
'e#ression /011 1 /011 1/644 /2@0
'esidual /021 3 /00?
otal /032 4
$e independent variale is I/
Coe!!icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ rror eta
1 5 I -1@/660 1*/336 -/*@* -1/22 /2@0
=Constant> 4/0@ /4?? /*@4 /003
$e dependent variale is ln=A%97>/
Gro't"
Model Summary
' ' Suare
AdEusted '
Suare
Std/ rror o& t$e
stimate
/*41 /2@2 /0*6 /0?
$e independent variale is I/
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ANVA
Sum o& Suares d& +ean Suare F Si#/
'e#ression /00@ 1 /00@ 1/23@ /34?
'esidual /023 3 /00
otal /032 4
$e independent variale is I/
Coe!!icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ rror eta
I /016 /01* /*41 1/113 /34?
=Constant> 2/@*6 /40 6/164 /00@
$e dependent variale is ln=A%97>/
E%ponential
Model Summary
' ' Suare
AdEusted '
Suare
Std/ rror o& t$e
stimate
/*41 /2@2 /0*6 /0?
$e independent variale is I/
ANVA
Sum o& Suares d& +ean Suare F Si#/
'e#ression /00@ 1 /00@ 1/23@ /34?
'esidual /023 3 /00
otal /032 4
$e independent variale is I/
Coe!!icients
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.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ rror eta
I /016 /01* /*41 1/113 /34?
=Constant> 1@/220 @/21 2/0* /12
$e dependent variale is ln=A%97>/
Logistic
Model Summary
' ' Suare
AdEusted '
Suare
Std/ rror o& t$e
stimate
/*41 /2@2 /0*6 /0?
$e independent variale is I/
ANVA
Sum o& Suares d& +ean Suare F Si#/
'e#ression /00@ 1 /00@ 1/23@ /34?
'esidual /023 3 /00
otal /032 4
$e independent variale is I/
Coe!!icients
.nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#/ Std/ rror eta
I /@4 /014 /*2 6?/@24 /000
=Constant> /0*2 /02* 2/0* /12
$e dependent variale is ln=1 5 A%97>/
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