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* Curve Estimation.
TSET NEWVAR=NONE.
CURVEFIT
/VARIABLES=ANLE WIT! "SSIN
/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 06:41:54
Comments
Input Active Dataset DataSet0
Filter none!
"ei#$t none!
Split File none!
% o& 'o(s in "or)in# Data
File5
*issin# +alue ,andlin# De&inition o& *issin# ser-de&ined missin# values are treated
as missin#.
Cases sed Cases (it$ a missin# value in an/
variale are not used in t$e anal/sis.
S/nta C'+FI3
+A'IAS7A%8 "I3, 9SSI%8
CO%S3A%3
*OD7I%A' O8A'I3,*IC
I%+'S AD'A3IC CIC
CO*9O%D 9O"' S 8'O"3,
;9O%%3IA 8S3IC
9'I%3 A%O+A
9O3 FI3.
'esources 9rocessor 3ime 00:00:00.250
lapsed 3ime 00:00:00.210
se From First oservation
3o ast oservation
9redict From First Oservation &ollo(in# t$e use
period
3o ast oservation
3ime Series Settin#s
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*aimum %umer o& a#s in
Autocorrelation or 9artial
Autocorrelation 9lots
*;A3O 7 16
*aimum %umer o& a#s
9er Cross-Correlation 9lots*;C'OSS 7 >
*aimum %umer o& %e(
+ariales 8enerated 9er
9rocedure
*;%"+A' 7 60
*aimum %umer o& %e(
Cases 9er 9rocedure*;9'DIC3 7 1000
3reatment o& ser-*issin#
+alues*ISSI%8 7 ;CD
Con&idence Interval
9ercenta#e +alueCI% 7 ?5
3olerance &or nterin#
+ariales in 'e#ression
@uations
3O' 7 .0001
*aimum Iterative
9arameter C$an#eC%+'8 7 .001
*et$od o& Calculatin# Std.
rrors &or AutocorrelationsACFS 7 I%D
en#t$ o& Seasonal 9eriod nspeci&ied
+ariale "$ose +alues ael
Oservations in 9lots
nspeci&ied
@uations Include CO%S3A%3
'$ataSet()
Model Description
*odel %ame *OD12
Dependent +ariale 1 A%8
@uation 1 inear
2 o#arit$mic
B Inverse
4 uadratic
5 Cuic
6 Compounda
> 9o(er a
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Sa
? 8ro(t$a
10 ponentiala
11 o#istica
Independent +ariale 9SSI%8
Constant Included
+ariale "$ose +alues ael Oservations in 9lots nspeci&ied
3olerance &or nterin# 3erms in @uations .0001
a. 3$e model re@uires all non-missin# values to e positive.
Case Processing Summary
%
3otal Cases 5
cluded Casesa 0
Forecasted Cases 0
%e(l/ Created Cases 0
a. Cases (it$ a missin# value in an/
variale are ecluded &rom t$e
anal/sis.
Variable Processing Summary
+ariales
Dependent Independent
A%8 9SSI%8
%umer o& 9ositive +alues 5 5
%umer o& eros 0 0
%umer o& %e#ative +alues 0 0
%umer o& *issin# +alues ser-*issin# 0 0
S/stem-*issin# 0 0
ANGLE
Linear
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Model Summary
' ' S@uare
AdEusted '
S@uare
Std. rror o& t$e
stimate
.5B6 .2> .04? 2.>1
3$e independent variale is 9SSI%8.
ANVA
Sum o& S@uares d& *ean S@uare F Si#.
'e#ression ?.B40 1 ?.B40 1.20> .B52
'esidual 2B.205 B >.>B5
3otal B2.544 4
3$e independent variale is 9SSI%8.
Coe!!icients
nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#. Std. rror eta
9SSI%8 .211 .1?2 .5B6 1.0?? .B52
.0?> 5.B62 5.05B .015
Logarit"mic
Model Summary
' ' S@uare
AdEusted '
S@uare
Std. rror o& t$e
stimate
.621 .B6 .11 2.52
3$e independent variale is 9SSI%8.
ANVA
Sum o& S@uares d& *ean S@uare F Si#.
'e#ression 12.54 1 12.54 1.B .264
'esidual 1?.??> B 6.666
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3otal B2.544 4
3$e independent variale is 9SSI%8.
Coe!!icients
nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#. Std. rror eta
ln 4.B5> .621 1.B>2 .264
14.2?5 .?2? .421
#nverse
Model Summary
' ' S@uare
AdEusted '
S@uare
Std. rror o& t$e
stimate
.6?B .40 .B0> 2.B>4
3$e independent variale is 9SSI%8.
ANVA
Sum o& S@uares d& *ean S@uare F Si#.
'e#ression 15.6B1 1 15.6B1 2.>>B .1?4
'esidual 16.?1B B 5.6B
3otal B2.544 4
3$e independent variale is 9SSI%8.
Coe!!icients
nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#. Std. rror eta
1 9SSI%8 -15B.540 ?2.20? -.6?B -1.665 .1?4
?0 10.261 .002
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$uadratic
Model Summary
' ' S@uare
AdEusted '
S@uare
Std. rror o& t$e
stimate
.55 .>B1 .462 2.0?1
3$e independent variale is 9SSI%8.
ANVA
Sum o& S@uares d& *ean S@uare F Si#.
'e#ression 2B.>?> 2 11.? 2.>20 .26?
'esidual .>4 2 4.B>4
3otal B2.544 4
3$e independent variale is 9SSI%8.
Coe!!icients
nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#. Std. rror eta
9SSI%8 2.220 1.114 5.640 1.??2 .15
9SSI%8 GG 2 -.0B? .021 -5.14> -1.1 .211
1B.?B? .204 .5
Cubic
Model Summary
' ' S@uare
AdEusted '
S@uare
Std. rror o& t$e
stimate
.55 .>B1 .462 2.0?1
3$e independent variale is 9SSI%8.
ANVA
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Sum o& S@uares d& *ean S@uare F Si#.
'e#ression 2B.>?> 2 11.? 2.>20 .26?
'esidual .>4 2 4.B>4
3otal B2.544 4
3$e independent variale is 9SSI%8.
Coe!!icients
nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#. Std. rror eta
9SSI%8 2.220 1.114 5.640 1.??2 .15
9SSI%8 GG 2 -.0B? .021 -5.14> -1.1 .211
1B.?B? .204 .5
E%cluded &erms
eta In t Si#.
9artial
Correlation
*inimum
3olerance
9SSI%8 GG Ba 50.20B 1>0.22B .004 1.000 .000
a. 3$e tolerance limit &or enterin# variales is reac$ed.
Compound
Model Summary
' ' S@uare
AdEusted '
S@uare
Std. rror o& t$e
stimate
.56> .B22 .0?6 .05
3$e independent variale is 9SSI%8.
ANVA
Sum o& S@uares d& *ean S@uare F Si#.
'e#ression .010 1 .010 1.424 .B1?
'esidual .022 B .00>
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3otal .0B2 4
3$e independent variale is 9SSI%8.
Coe!!icients
nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#. Std. rror eta
9SSI%8 1.00> .006 1.>64 1>0.2BB .000
.04> 4.440 6.0?1 .00?
3$e dependent variale is ln
3$e independent variale is 9SSI%8.
ANVA
Sum o& S@uares d& *ean S@uare F Si#.
'e#ression .014 1 .014 2.211 .2B4
'esidual .01 B .006
3otal .0B2 4
3$e independent variale is 9SSI%8.
Coe!!icients
nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#. Std. rror eta
ln .1B2 .651 1.4> .2B4
.1?0 >.46> 2.B02 .105
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3$e dependent variale is ln 1 .01> B.261 .16?
'esidual .015 B .005
3otal .0B2 4
3$e independent variale is 9SSI%8.
Coe!!icients
nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#. Std. rror eta
1 9SSI%8 -5.020 2.>0 -.>22 -1.06 .16?
.B22 .0?6 .05
3$e independent variale is 9SSI%8.
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ANVA
Sum o& S@uares d& *ean S@uare F Si#.
'e#ression .010 1 .010 1.424 .B1?
'esidual .022 B .00>
3otal .0B2 4
3$e independent variale is 9SSI%8.
Coe!!icients
nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#. Std. rror eta
9SSI%8 .00> .006 .56> 1.1?B .B1?
.000
3$e dependent variale is ln
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nstandardied Coe&&icients
Standardied
Coe&&icients
t Si#. Std. rror eta
9SSI%8 .00> .006 .56> 1.1?B .B1?
.04> 4.440 6.0?1 .00?
3$e dependent variale is ln
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