regression of angle with pi.doc

7/17/2019 regression of angle with pi.doc

1/12

* 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%


2/12

+aimum %umer o& 7a#s in

Autocorrelation or artial

Autocorrelation lots

+


3/12

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


4/12

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


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


ANVA


'e#ression 10/1?6 1 10/1?6 1/36* /32?

'esidual 22/36@ 3 ?/4*6


5/12

otal 32/*44 4


Coe!!icients


Standardied

Coe&&icients


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


ANVA


'e#ression 11/1? 1 11/1? 1/*?1 /2@@

'esidual 21/3* 3 ?/11@

otal 32/*44 4


Coe!!icients


Standardied

Coe&&icients


1 5 I -61?/1*3 4@2/32@ -/*6 -1/2*4 /2@@

=Constant> *1/@*? 1*/30? 3/3@4 /043


6/12

$uadratic

Model Summary

' ' Suare

AdEusted '

Suare

Std/ rror o& t$e

stimate

/@6@ /@3 /?? 1/002


ANVA


'e#ression 30/*3? 2 1*/26@ 1*/21* /062

'esidual 2/00? 2 1/004

otal 32/*44 4


Coe!!icients


Standardied

Coe&&icients


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


ANVA


7/12


'e#ression 30/*3? 2 1*/26@ 1*/21* /062

'esidual 2/00? 2 1/004

otal 32/*44 4


Coe!!icients


Standardied

Coe&&icients


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?


ANVA


'e#ression /00@ 1 /00@ 1/23@ /34?

'esidual /023 3 /00


8/12

otal /032 4


Coe!!icients


Standardied

Coe&&icients


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*


ANVA


'e#ression /010 1 /010 1/42@ /31

'esidual /022 3 /00?

otal /032 4


Coe!!icients


Standardied

Coe&&icients


ln=I> /*?0 /4?? /*6 1/1@* /31

=Constant> 4/*11 ?/40 /603 /*@


9/12


S

Model Summary

' ' Suare

AdEusted '

Suare

Std/ rror o& t$e

stimate

/*@* /3*4 /13@ /03


ANVA


'e#ression /011 1 /011 1/644 /2@0

'esidual /021 3 /00?

otal /032 4


Coe!!icients


Standardied

Coe&&icients


1 5 I -1@/660 1*/336 -/*@* -1/22 /2@0

=Constant> 4/0@ /4?? /*@4 /003


Gro't"

Model Summary

' ' Suare

AdEusted '

Suare

Std/ rror o& t$e

stimate

/*41 /2@2 /0*6 /0?



10/12

ANVA


'e#ression /00@ 1 /00@ 1/23@ /34?

'esidual /023 3 /00

otal /032 4


Coe!!icients


Standardied

Coe&&icients


I /016 /01* /*41 1/113 /34?

=Constant> 2/@*6 /40 6/164 /00@


E%ponential

Model Summary

' ' Suare

AdEusted '

Suare

Std/ rror o& t$e

stimate

/*41 /2@2 /0*6 /0?


ANVA


'e#ression /00@ 1 /00@ 1/23@ /34?

'esidual /023 3 /00

otal /032 4


Coe!!icients


11/12


Standardied

Coe&&icients


I /016 /01* /*41 1/113 /34?

=Constant> 1@/220 @/21 2/0* /12


Logistic

Model Summary

' ' Suare

AdEusted '

Suare

Std/ rror o& t$e

stimate

/*41 /2@2 /0*6 /0?


ANVA


'e#ression /00@ 1 /00@ 1/23@ /34?

'esidual /023 3 /00

otal /032 4


Coe!!icients


Standardied

Coe&&icients


I /@4 /014 /*2 6?/@24 /000

=Constant> /0*2 /02* 2/0* /12

$e dependent variale is ln=1 5 A%97>/


12/12

regression of angle with pi.doc

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