Shown below is a partial regression computer output. The regression equation is
ID: 3394278 • Letter: S
Question
Shown below is a partial regression computer output.
The regression equation is
Y=14.4 -8.69X1 + 13.52X2
Predicator
Coef
SE Coef T
Constant
14.4
8.191 1.76
X1
______
1.555 _____
X2
13.52
2.085 _____
SS=3.45
R-sq=______
R-sq(adj)=_______
ANOVA
DF
SS
Regression
2
60
Residual (Error)
______
71.17
Total 7 720.0
Fill in the missing entries [12]
Interpret the coefficient on X1 [3]
Interpret the R2 and R2a (adjusted R2) [4]
Out of the R2 and R2a which is a better measure of fit? [1] Explain why [1]
Predicator
Coef
SE Coef T
Constant
14.4
8.191 1.76
X1
______
1.555 _____
X2
13.52
2.085 _____
SS=3.45
R-sq=______
R-sq(adj)=_______
ANOVA
DF
SS
Regression
2
60
Residual (Error)
______
71.17
Explanation / Answer
The regression equation is
Y=14.4 -8.69X1 + 13.52X2
coefficient of X1 -8.69
R square = 0.42119
residual df 5
for each value of X1 you will have an decrese of 8.69
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