output3a

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REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Salary /METHOD=ENTER Runs Hits HomeRuns. Regression Notes Output Created 11-Jun-2015 02:28:05 Comments Input Data E:\kuliah\semester 1\Statisitika\tugas SPSS\data1.sav Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 30 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 Salary /METHOD=ENTER Runs Hits HomeRuns. Resources Processor Time 00:00:00.047 Elapsed Time 00:00:00.038 Memory Required 2020 bytes Additional Memory Required for Residual Plots 0 bytes [DataSet1] E:\kuliah\semester 1\Statisitika\tugas SPSS\data1.sav Variables Entered/Removed b

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Page 1: output3a

REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Salary /METHOD=ENTER Runs Hits HomeRuns.

Regression

Notes

Output Created 11-Jun-2015 02:28:05

Comments

Input Data E:\kuliah\semester 1\Statisitika\tugas

SPSS\data1.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data File 30

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 Salary

/METHOD=ENTER Runs Hits HomeRuns.

Resources Processor Time 00:00:00.047

Elapsed Time 00:00:00.038

Memory Required 2020 bytes

Additional Memory Required for

Residual Plots0 bytes

[DataSet1] E:\kuliah\semester 1\Statisitika\tugas SPSS\data1.sav

Variables Entered/Removedb

Page 2: output3a

Model Variables Entered

Variables

Removed Method

1 HomeRuns, Hits,

Runsa. Enter

a. All requested variables entered.

b. Dependent Variable: Salary

Model Summary

Model R R Square Adjusted R Square

Std. Error of the

Estimate

1 .696a .484 .425 1109703.081

a. Predictors: (Constant), HomeRuns, Hits, Runs

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 3.004E13 3 1.001E13 8.131 .001a

Residual 3.202E13 26 1.231E12

Total 6.206E13 29

a. Predictors: (Constant), HomeRuns, Hits, Runs

b. Dependent Variable: Salary

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.B Std. Error Beta

1 (Constant) -227399.800 448721.691 -.507 .617

Runs 4832.865 20856.998 .102 .232 .819

Hits 13044.952 11573.502 .465 1.127 .270

HomeRuns 25067.719 32348.334 .169 .775 .445

a. Dependent Variable: Salary