SPSS KELOMPOK 5 NEW ajaa

Warning # 849 in column 23. Text: in_ID

The LOCALE subcommand of the SET command has an invalid parameter. It could not be mapped to a valid backend locale.

DESCRIPTIVES VARIABLES=X1 X2 X3 X4 Y /STATISTICS=MEAN STDDEV MIN MAX.

Descriptives

Notes

Output Created 10-JUN-2024 14:31:57

Comments

Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File 36

Missing Value Handling Definition of Missing User defined missing values are treated as missing.

Cases Used All non-missing data are used.

Syntax DESCRIPTIVES VARIABLES=X1 X2

X3 X4 Y

/STATISTICS=MEAN STDDEV MIN MAX.

Resources Processor Time 00:00:00,02

Elapsed Time 00:00:00,02

[DataSet0]

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

X1 36 2040,0000 5400,0000 3166,666667 1105,3176402

X2 36 5,0000 15,0000 9,508333 3,0795524

X3 36 ,0000 1,0000 ,500000 ,5070926

X4 36 ,0000 1,0000 ,527778 ,5063094

Y 36 5000,00 20500,00 10791,6667 4381,47888

Valid N (listwise) 36

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN

/DEPENDENT Y

/METHOD=ENTER X1 X2 X3 X4 /SAVE RESID.

Regression

Notes

Output Created 10-JUN-2024 14:32:58

Comments

Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File 36

Missing Value Handling Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax REGRESSION /MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA

/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN

/DEPENDENT Y

/METHOD=ENTER X1 X2 X3 X4 /SAVE RESID.

Resources Processor Time 00:00:00,02

Elapsed Time 00:00:00,02

Memory Required 2308 bytes Additional Memory Required

for Residual Plots 0 bytes Variables Created or

Modified

RES_1

Unstandardized Residual

Variables Entered/Removed^a

Model

Variables Entered

Variables

Removed Method

1 X4, X2, X3, X1^b . Enter

a. Dependent Variable: Y

b. All requested variables entered.

Model Summary^b

Model R R Square

Adjusted R Square

Std. Error of the Estimate

1 ,957^a ,917 ,906 1343,85665

a. Predictors: (Constant), X4, X2, X3, X1 b. Dependent Variable: Y

ANOVA^a

Model Sum of Squares df Mean Square F Sig.

1 Regression 615923028,504 4 153980757,126 85,263 ,000^b

Residual 55984471,496 31 1805950,693

Total 671907500,000 35

a. Dependent Variable: Y

b. Predictors: (Constant), X4, X2, X3, X1

Coefficients^a

Model

Unstandardized Coefficients

Standardized Coefficients

t Sig.

B Std. Error Beta

1 (Constant) -1834,840 787,969 -2,329 ,027

X1 2,900 ,401 ,732 7,224 ,000

X2 355,209 142,056 ,250 2,500 ,018

X3 250,154 468,443 ,029 ,534 ,597

X4 -111,865 455,033 -,013 -,246 ,807

a. Dependent Variable: Y

Residuals Statistics^a

Minimum Maximum Mean Std. Deviation N

Predicted Value 5857,0059 19152,7676 10791,6667 4194,97328 36

Residual -2841,42651 4724,92871 ,00000 1264,73568 36

Std. Predicted Value -1,176 1,993 ,000 1,000 36

Std. Residual -2,114 3,516 ,000 ,941 36

a. Dependent Variable: Y NPAR TESTS

/K-S(NORMAL)=RES_1 /MISSING ANALYSIS.

NPar Tests

Notes

Output Created 10-JUN-2024 14:33:36

Comments

Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File 36

Missing Value Handling Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics for each test are based on all cases with valid data for the variable(s) used in that test.

Syntax NPAR TESTS

/K-S(NORMAL)=RES_1 /MISSING ANALYSIS.

Resources Processor Time 00:00:00,00

Elapsed Time 00:00:00,02

Number of Cases Allowed^a 196608

a. Based on availability of workspace memory.

One-Sample Kolmogorov-Smirnov Test

Unstandardized Residual

N 36

Normal Parameters^a,b Mean ,0000000

Std. Deviation 1264,73567533 Most Extreme Differences Absolute ,199

Positive ,199

Negative -,147

Test Statistic ,199

Asymp. Sig. (2-tailed) ,001^c

a. Test distribution is Normal.

b. Calculated from data.

c. Lilliefors Significance Correction.

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN /DEPENDENT Y

/METHOD=ENTER X1 X2 X3 X4 /SCATTERPLOT=(*SRESID ,*ZPRED) /RESIDUALS DURBIN NORMPROB(ZRESID) /SAVE RESID.

Regression

Notes

Output Created 10-JUN-2024 14:35:01

Comments

Input Active Dataset DataSet0

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File 36

Missing Value Handling Definition of Missing User-defined missing values are treated as missing.

Cases Used Statistics are based on cases with no missing values for any variable used.

Syntax REGRESSION /MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA COLLIN TOL

/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN

/DEPENDENT Y

/METHOD=ENTER X1 X2 X3 X4 /SCATTERPLOT=(*SRESID ,*ZPRED)

/RESIDUALS DURBIN NORMPROB(ZRESID) /SAVE RESID.

Resources Processor Time 00:00:01,20

Elapsed Time 00:00:01,19

Memory Required 2324 bytes Additional Memory Required

for Residual Plots

544 bytes Variables Created or

Modified

RES_2

Unstandardized Residual

Variables Entered/Removed^a

Model

Variables Entered

Variables

Removed Method

1 X4, X2, X3, X1^b . Enter

a. Dependent Variable: Y

b. All requested variables entered.

Model Summary^b

Model R R Square

Adjusted R Square

Std. Error of the

Estimate Durbin-Watson

1 ,957^a ,917 ,906 1343,85665 2,197

a. Predictors: (Constant), X4, X2, X3, X1 b. Dependent Variable: Y

ANOVA^a

Model Sum of Squares df Mean Square F Sig.

1 Regression 615923028,504 4 153980757,126 85,263 ,000^b

Residual 55984471,496 31 1805950,693

Total 671907500,000 35

a. Dependent Variable: Y

b. Predictors: (Constant), X4, X2, X3, X1

Coefficients^a

Model

Unstandardized Coefficients

Standardized Coefficients

t Sig.

Collinearity Statistics

B Std. Error Beta Tolerance

1 (Constant) -1834,840 787,969 -2,329 ,027

X1 2,900 ,401 ,732 7,224 ,000 ,262

X2 355,209 142,056 ,250 2,500 ,018 ,270

X3 250,154 468,443 ,029 ,534 ,597 ,914

X4 -111,865 455,033 -,013 -,246 ,807 ,972

Coefficients^a

Model

Collinearity Statistics VIF

1 (Constant)

X1 3,816

X2 3,709

X3 1,094

X4 1,029

a. Dependent Variable: Y

Collinearity Diagnostics^a

Model Dimension Eigenvalue Condition Index

Variance Proportions

(Constant) X1 X2 X3

1 1 4,103 1,000 ,00 ,00 ,00 ,02

2 ,417 3,138 ,01 ,01 ,01 ,48

3 ,406 3,179 ,00 ,00 ,00 ,46

4 ,060 8,256 ,94 ,09 ,04 ,00

5 ,014 17,084 ,05 ,90 ,95 ,05

Collinearity Diagnostics^a

Model Dimension

Variance Proportions X4

1 1 ,02

2 ,27

3 ,66

4 ,05

5 ,00

a. Dependent Variable: Y

Residuals Statistics^a

Minimum Maximum Mean Std. Deviation N

Predicted Value 5857,0059 19152,7676 10791,6667 4194,97328 36

Std. Predicted Value -1,176 1,993 ,000 1,000 36

Standard Error of Predicted Value

368,365 923,314 489,981 105,128 36

Adjusted Predicted Value 5918,7256 19139,4141 10783,5081 4170,99693 36

Residual -2841,42651 4724,92871 ,00000 1264,73568 36

Std. Residual -2,114 3,516 ,000 ,941 36

Stud. Residual -2,393 4,020 ,003 1,040 36

Deleted Residual -3640,48364 6178,25928 8,15857 1549,36844 36

Stud. Deleted Residual -2,608 5,717 ,038 1,267 36

Mahal. Distance 1,658 15,550 3,889 2,473 36

Cook's Distance ,000 ,994 ,048 ,171 36

Centered Leverage Value ,047 ,444 ,111 ,071 36

a. Dependent Variable: Y

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