Ho: ERA does not have significant effects on the Wins
H1: ERA have significant effects on Wins
Data Analysis
Model Summaryb
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
Durbin-Watson
1
.846a
.716
.695
5.98150
1.812
a. Predictors: (Constant), Batting, ERA
b. Dependent Variable: Wins
ANOVAb
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
2437.984
2
1218.992
34.071
.000a
Residual
966.016
27
35.778
Total
3404.000
29
a. Predictors: (Constant), Batting, ERA
b. Dependent Variable: Wins
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
-32.891
40.355
-.815
.422
ERA
-15.514
2.004
-.811
-7.743
.000
Batting
682.070
155.816
.458
4.377
.000
a. Dependent Variable: Wins
Interpretation of Data
In this analysis:
Dependant Variable = X = Wins
Independent Variable = Y = ERP & Batting
The equation formed is shows that whatever value is placed on X will have negative impact by 32% and a value placed on Y will also have negative impact by 15%.