Use SAS output for a random sample of size 20 to answer the following questions.Regression of y on X and X₂1Regression of yon X₁ X₂ and X₂3F1.17, 0.99 = 8.40F3,16, 0.99 = 5.29F1.17, 0.95 = 4.453,16, 0.95 = 3.24c) Does the addition of X, significantly contribute to prediction of y after accounting for the contribution of X₁? Use a = 0.05-O Reject the null hypothesisO Do not reject the null hypothesisSourceModelErrorII...Corrected Total 19 1855.20200ParameterInterceptNumber of Observations Read 20Number of Observations Used 20R-Square Coeff VarRoot MSE0.818318 22.31297 4.589778x1x2x3Analysis of VarianceSum ofDF Squares2 1317.79841 658.89921 20.84 <.0001x1x2x317 537.40359 31.61198SourceModelErrorSource DF11 1309.4459311200.346530MeanSquare F Value Pr> FType I SS8.352481Estimate-36.76492528 7.010925770.00076294 0.000636301.19217421 0.561653914.71982137 1.53047547StandardErrorSource DFType III SS130.28553611 94.91291621 200.3465296DF Sum of Squares Mean Square F Value Pr > F3 1518.144941 506.048314 24.02 .0001337.05705921.0660661855.20200016Corrected Total 19y Mean20.57000F2.17, 0.99 = 6.11F4,16, 0.99 = 4.77F2.17, 0.95 = 3.594,16, 0.95 = 3.01F

Type I SS: In regression analysis, the Type I sum of squares, referred to as sequential sum of…

Answered: c) Does the addition of X significantly…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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c) Does the addition of X significantly contribute to prediction of y after accounting for the contribution of X₂? Use=0.05- O Reject the null hypothesis O Do not reject the null hypothesis