| A study was conducted on 64 e ale college athletes. The researcher collected d
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| A study was conducted on 64 e ale college athletes. The researcher collected data on a num rot anables i duding percent body at tatal body weight. height, and age o athlete. The researcher wondered i % body fa %BF height HGT and age are significant precictors of total body weight. All conditons have besn checksd and are mst and no transformations were needed. The technology output from the mutiple regression analysis is given below. If age wss removed from the model, what wouid happen to k the icon to view the multiple regressian a Choose the correct answer below. 0 Multiple Regression Analysis O A. R-square woulkd go down or slay the sarrs, but would ro go up. O B. R-square would go up since age was not a significant predictor of total body weight. Coef SE Coef - 97.03 1.3613 0.3126 3.4285 39 0.9601 0.6183 C. R-square. would stay the s me sinoeage was not significent predictor of total body weight. D, More informaticn is needed to determine what woud happen to R-square if age was remaved. 0.001 0.000 9.32 UOUU 1.48 0.144 O 28.79 -3.359 4.36 HGT AGE S. 1D 1086 R-Sq-669 Analysis of Variancn Scurca DF 3 12,407.9 4136.0 0480.000 60 6131.0 63 18,539.0 Residual Error 102.2 Total Print Done Click to aelect your anawerExplanation / Answer
Answer of this question is option A.R-square would go down or stay the same , but would not go up because whenever we add variable in the model , R-square is non-decreasing function of number of variables added.
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