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Estimating R square from the regression equation.

A partial computer output from a regression analysis as follows. The regression equation is
Y = 8.103 + 7.602 X1 + 3.111 X2

Predictor	Coef	SE Coef	T
Constant		2.667
X1		2.105
X2		0.613

 

S = 3.335

R-sq = 92.3%

R – sq (adj) = _____%

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

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