The computer output shown below is part of the regression analysis to predict the height of...
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The computer output shown below is part of the regression analysis to predict the height of the gold medal winning high jump in the Olympics based on year and gender (coded as males=0, females=1). UF V Predictor Coef Constant -9.0965 Year 0.0057426 0.0002409 Gender -0.34761 0.01537 SE Coef 0.4708 T P -19.32 0.000 23.84 0.000 0.000 Source DF SS MS F p Regression 2 2. 0735 Error 42 0. 1015 1.0368 0.0024 0.000 Total 44 2.1751 What is the test statistic to determine if gender is a good predictor in this model? 20.78 -22.62 -19.32 432 23.84 The computer output shown below is part of the regression analysis to predict the height of the gold medal winning high jump in the Olympics based on year and gender (coded as males=0, females=1). UF V Predictor Coef Constant -9.0965 Year 0.0057426 0.0002409 Gender -0.34761 0.01537 SE Coef 0.4708 T P -19.32 0.000 23.84 0.000 0.000 Source DF SS MS F p Regression 2 2. 0735 Error 42 0. 1015 1.0368 0.0024 0.000 Total 44 2.1751 What is the test statistic to determine if gender is a good predictor in this model? 20.78 -22.62 -19.32 432 23.84
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