regression of angle with passing.doc

7/23/2019 regression of angle with passing.doc

1/12

* 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


2/12

*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


3/12

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


4/12

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


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


ANVA


'e#ression 12.54 1 12.54 1.B .264

'esidual 1?.??> B 6.666


5/12

3otal B2.544 4


Coe!!icients


Standardied

Coe&&icients


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


ANVA


'e#ression 15.6B1 1 15.6B1 2.>>B .1?4

'esidual 16.?1B B 5.6B

3otal B2.544 4


Coe!!icients


Standardied

Coe&&icients


1 9SSI%8 -15B.540 ?2.20? -.6?B -1.665 .1?4

?0 10.261 .002


6/12

$uadratic

Model Summary

' ' S@uare

AdEusted '

S@uare

Std. rror o& t$e

stimate

.55 .>B1 .462 2.0?1


ANVA


'e#ression 2B.>?> 2 11.? 2.>20 .26?

'esidual .>4 2 4.B>4

3otal B2.544 4


Coe!!icients


Standardied

Coe&&icients


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


ANVA


7/12


'e#ression 2B.>?> 2 11.? 2.>20 .26?

'esidual .>4 2 4.B>4

3otal B2.544 4


Coe!!icients


Standardied

Coe&&icients


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


ANVA


'e#ression .010 1 .010 1.424 .B1?

'esidual .022 B .00>


8/12

3otal .0B2 4


Coe!!icients


Standardied

Coe&&icients


9SSI%8 1.00> .006 1.>64 1>0.2BB .000

.04> 4.440 6.0?1 .00?

3$e dependent variale is ln


ANVA


'e#ression .014 1 .014 2.211 .2B4

'esidual .01 B .006

3otal .0B2 4


Coe!!icients


Standardied

Coe&&icients


ln .1B2 .651 1.4> .2B4

.1?0 >.46> 2.B02 .105


9/12

3$e dependent variale is ln 1 .01> B.261 .16?

'esidual .015 B .005

3otal .0B2 4


Coe!!icients


Standardied

Coe&&icients


1 9SSI%8 -5.020 2.>0 -.>22 -1.06 .16?

.B22 .0?6 .05



10/12

ANVA


'e#ression .010 1 .010 1.424 .B1?

'esidual .022 B .00>

3otal .0B2 4


Coe!!icients


Standardied

Coe&&icients


9SSI%8 .00> .006 .56> 1.1?B .B1?

.000



11/12


Standardied

Coe&&icients


9SSI%8 .00> .006 .56> 1.1?B .B1?

.04> 4.440 6.0?1 .00?



12/12

regression of angle with passing.doc

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