DATASET CLOSE DataSet1. REGRESSION

  /DESCRIPTIVES MEAN STDDEV CORR SIG N

  /MISSING LISTWISE

  /STATISTICS COEFF OUTS R ANOVA

  /CRITERIA=PIN(.05) POUT(.10)

  /NOORIGIN

  /DEPENDENT Y

  /METHOD=ENTER X

  /SCATTERPLOT=(*SDRESID ,*ZPRED) (*ZPRED ,Y)

  /RESIDUALS NORMPROB(ZRESID)

  /CASEWISE PLOT(ZRESID) ALL.

Regression

Notes

Output Created

Comments

Input Data

Active Dataset

Filter

Weight

Split File

N of Rows in Working Data File

Missing Value Handling Definition of Missing

Cases Used

02-NOV-2015 08:59:42

D:\KULIAH\flash1\kuliah embah\SPSS PENELITIAN\Regresi Kemampuan Spasial Terhadap Psikomotorik Siswa(OK).sav

DataSet2

<none>

<none>

<none>

28

User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X /SCATTERPLOT=(*SDRESID ,*ZPRED) (*ZPRED ,Y) /RESIDUALS NORMPROB(ZRESID) /CASEWISE PLOT(ZRESID) ALL.

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Notes

Syntax

Resources Processor Time

Elapsed Time

Memory Required

Additional Memory Required for Residual Plots

REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Y /METHOD=ENTER X /SCATTERPLOT=(*SDRESID ,*ZPRED) (*ZPRED ,Y) /RESIDUALS NORMPROB(ZRESID) /CASEWISE PLOT(ZRESID) ALL.

00:00:01,00

00:00:01,08

2400 bytes

376 bytes

Descriptive Statistics

Mean Std. Deviation N

Y

X

76,2786 5,11867 28

111,7143 14,76697 28

Correlations

Y X

Pearson Correlation Y

X

Sig. (1-tailed) Y

X

N Y

X

1,000 ,798

,798 1,000

. ,000

,000 .

28 28

28 28

Variables Entered/Removeda

ModelVariables Entered

Variables Removed Method

1 Xb . Enter

Dependent Variable: Ya.

All requested variables entered.b.

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Model Summaryb

Model R R SquareAdjusted R

SquareStd. Error of the

Estimate

1 ,798a ,637 ,623 3,14152

Predictors: (Constant), Xa.

Dependent Variable: Yb.

ANOVAa

ModelSum of Squares df Mean Square F Sig.

1 Regression

Residual

Total

450,824 1 450,824 45,680 ,000b

256,598 26 9,869

707,422 27

Dependent Variable: Ya.

Predictors: (Constant), Xb.

Coefficientsa

Model

Unstandardized CoefficientsStandardized Coefficients

t Sig.B Std. Error Beta

1 (Constant)

X

45,366 4,612 9,836 ,000

,277 ,041 ,798 6,759 ,000

Dependent Variable: Ya.

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Casewise Diagnosticsa

Case Number Std. Residual Y Predicted Value Residual

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

,986 83,33 80,2316 3,09838

,719 80,00 77,7412 2,25880

,716 77,50 75,2508 2,24922

-,080 75,00 75,2508 -,25078

1,779 82,50 76,9111 5,58894

-,617 67,50 69,4398 -1,93980

-,605 78,33 80,2316 -1,90162

,455 80,00 78,5713 1,42866

,449 75,83 74,4206 1,40936

,187 78,33 77,7412 ,58880

1,503 72,50 67,7795 4,72048

-,356 65,83 66,9494 -1,11938

-,611 71,67 73,5905 -1,92050

-,611 72,50 74,4206 -1,92064

-,083 73,33 73,5905 -,26050

,719 80,00 77,7412 2,25880

,722 82,50 80,2316 2,26838

-,080 75,83 76,0809 -,25092

-1,401 75,00 79,4015 -4,40148

-1,134 77,50 81,0618 -3,56176

-,873 75,83 78,5713 -2,74134

,713 75,83 73,5905 2,23950

1,518 85,83 81,0618 4,76824

,455 80,83 79,4015 1,42852

-2,470 64,17 71,9302 -7,76022

,005 72,50 72,4836 ,01635

-1,398 78,33 82,7220 -4,39204

-,605 77,50 79,4015 -1,90148

Dependent Variable: Ya.

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Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value

Std. Predicted Value

Standard Error of Predicted Value

Adjusted Predicted Value

Residual

Std. Residual

Stud. Residual

Deleted Residual

Stud. Deleted Residual

Mahal. Distance

Cook's Distance

Centered Leverage Value

66,9494 82,7220 76,2786 4,08622 28

-2,283 1,577 ,000 1,000 28

,594 1,503 ,808 ,232 28

66,6292 83,3656 76,2893 4,14415 28

-7,76022 5,58894 ,00000 3,08280 28

-2,470 1,779 ,000 ,981 28

-2,572 1,813 -,002 1,025 28

-8,41358 5,87081 -,01070 3,37123 28

-2,921 1,902 -,010 1,074 28

,002 5,212 ,964 1,280 28

,000 ,342 ,048 ,084 28

,000 ,193 ,036 ,047 28

Dependent Variable: Ya.

Charts

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Observed Cum Prob

1,00,80,60,40,20,0

Exp

ecte

d C

um

Pro

b

1,0

0,8

0,6

0,4

0,2

0,0

Normal P-P Plot of Regression Standardized Residual

Dependent Variable: Y

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Regression Standardized Predicted Value

210-1-2-3

Reg

ress

ion

Stu

den

tize

d D

elet

ed (

Pre

ss)

Res

idu

al 2

1

0

-1

-2

-3

Scatterplot

Dependent Variable: Y

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Y

90,0085,0080,0075,0070,0065,0060,00

Reg

ress

ion

Sta

nd

ard

ized

Pre

dic

ted

Val

ue

2

1

0

-1

-2

-3

Scatterplot

Dependent Variable: Y

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