The regression equation is Y=16.1+0.111X⁢1-0.664X⁢2-0.028X⁢3 Predictor Coef SE Coef T P Constant 16.079 28.209 0.57 0.573...

Question

Question

The regression equation is

Y=16.1+0.111X⁢1-0.664X⁢2-0.028X⁢3

S=4.81664

R-Sq=41.6%

R-Sq(adj)=30.7%

Source	DF	SS	MS	F	P
Analysis of Variance
Regression	3	264.8	88.28	3.81	0.031
Residual Error	16	371.2	23.2
Total	19	636.0

(a) Which variable might we try eliminating first to possibly improve this model

b) What is R2 for this model?

Do we expect R2 to increase, decrease, or remain the same if we eliminate the variable chosen in part (a)?

What type of change in R2 would indicate that removing the variable in part (a) was a good idea?

A bad idea?

math Statistics-And-Probability

Answer 1

Answer #1

Answer 2

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