For a model containing only the single predictor smoking frequency (Xi), does ad

Question

For a model containing only the single predictor smoking frequency (Xi), does adding gender (X2)and blood pressure (X3) significantly improve prediction of Lung Cancer? What is your conclusion at = 0.05? Please choose useful values from following information to answer the question. Full Model d.f MS Source Regression (X1, X2, X3) Residual Total 982.09 260.87 1242.96 327.36 59 42 62 Reduced Model MS 813.62 7.04 d.f Source Regression (Xi) Residual Total 813.62 429.34 1242.96 61 62 =0.1F l, F(09,59,2) = 2.39; = 0.05, F(0,95,59,2) ,-3.15; -0.01, F O Reject Ho in favor of Ha O Neither reject Ho or H None of these answers are correct. O Fail to reject Ho

Explanation / Answer

Ans:

F-statistic:

F=MSregression/MSerror=327.36/4.42=74.06

As,critical F=3.15

As,F=74.06>3.15,we reject null hypothesis,H0.

Hence,the option,Reject H0 in favor of Hais correct.(first option)

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