Regression Analysis in SPSS

SPSS

TABLE OF CONTENTS
12.2..................................................................................................................................................3
Regression....................................................................................................................................3
12.4..................................................................................................................................................6
A..................................................................................................................................................6
12.12................................................................................................................................................7
A. Implication of experimental technique to be used in analyzing the outcomes.......................7
B. Analyzing the means of variables...........................................................................................7
12.14................................................................................................................................................8
A. Identification of the treatment to be followed........................................................................8
12.22................................................................................................................................................8
SAS..............................................................................................................................................9
12.24..............................................................................................................................................11
12.26..............................................................................................................................................12
Regression..................................................................................................................................12
12.36..............................................................................................................................................14
Regression..................................................................................................................................14
REFERENCES..............................................................................................................................16

12.2
Regression
Hypothesis:
Null hypothesis (H0): There is no statistically significant difference in the mean values of
dependent variable round and independent variable power
Alternative hypothesis (H1): There is a statistically significant difference in the mean values of
dependent variable round and independent variable power
Variables Entered/Removeda
Model Variables
Entered
Variables
Removed
Method
1 POWERb . Enter
a. Dependent Variable: ROUND
b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
Durbin-Watson
1 .234a .055 .023 1.123 .214
a. Predictors: (Constant), POWER
b. Dependent Variable: ROUND
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 2.181 1 2.181 1.730 .198b
Residual 37.819 30 1.261
Total 40.000 31
a. Dependent Variable: ROUND
b. Predictors: (Constant), POWER
Coefficientsa

Model Unstandardized Coefficients Standardized
Coefficients
t Sig. Collinearity Statistics
B Std. Error Beta Tolerance VIF
1 (Constant) -2.137 3.531 -.605 .550
POWER .004 .003 .234 1.315 .198 1.000 1.000
a. Dependent Variable: ROUND
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index Variance Proportions
(Constant) POWER
1 1 1.998 1.000 .00 .00
2 .002 35.553 1.00 1.00
a. Dependent Variable: ROUND
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 1.76 2.95 2.50 .265 32
Residual -1.806 1.782 .000 1.105 32
Std. Predicted Value -2.795 1.697 .000 1.000 32
Std. Residual -1.608 1.588 .000 .984 32
a. Dependent Variable: ROUND