Based on these regression results, in your judgment which statement is most near

Question

Based on these regression results, in your judgment which statement is most nearly correct (Y highway miles per gallon in 91 cars)? R2 0.499 Adjusted R 0.444 R 0.707 Std. Error 4019 n 91 Dep. Var HyMPG Source Regression Residual Total df 9 145 0806 8 16.1529 90 AIS -value 1,305.7251 1,308.3848 2,614.1099 898 O Prediction intervals would be fairly narrow in terms of MPG The number of predictors is rather small The overall model lacks significance and/or predictive power. O Some predictors are not contributing much.

Explanation / Answer

Correct Answer is: Some predictors are not contributing much

Reason: Degrees of freedom of residuals is 9 so the number of predictors are 10 (9+1). However, model only expalins 44.4% variation in the highway miles per gallon. This means that some predictors are not contributing much.

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