A partial computer output from a regression analysis as follows. The regression equation is:
Y = 8.103 + 7.602 X1 + 3.111 X2
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Predictor
|
Coef
|
SE Coef
|
T
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Constant
|
|
2.667
|
|
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X1
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2.105
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|
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X2
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0.613
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|
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S = 3.335
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R-sq = 92.3%
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R - sq (adj) = _____%
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Analysis of Variance
|
Source
|
DF
|
SS
|
MS
|
F
|
|
Regression
|
|
1612
|
|
|
|
Residual Error
|
12
|
|
|
|
|
Total
|
|
|
|
|
a. Compute the appropriate t-ratios (to 2 decimals)
Constant
X1
X2
b. Compute the entries in the DF, SS and MS columns (to 2 decimals if necessary).
|
Source
|
DF
|
SS
|
MS
|
|
Regression
|
2
|
1612
|
806
|
|
Residual Error
|
12
|
|
11.21
|
|
Total
|
14
|
|
|