Answer:-
Given That:-
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.
What is the standard deviation of the points around the regression equation?
Given,
Standard deviation of the points around the regression equation
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are.com nces The computer output shown below is part of the regression analysis to predict the...
Height = 0.4708 + 0.0002409 yr + 0.01537 gender height = -9.0965 + 0.4708 yr -19.32 gender height = 2. 0735 + 0. 1015 yr + 2.1751 gender height = -9.0965 + 0.0057426 yr +-0.34761 gender 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). Predictor Coef SE Coef T p Constant -9.0965 0.4708 -19.32...
2.com medal winning high jump in the Olympics based on year and gender (coded as males-0, females-1). Predictor Coef SE Coef T р stant -9.0965 0.4708 -19.32 0.000 Year 0.0057426 0.0002409 23.84 0.000 Gender -0.34761 0.01537 0.000 Source DF SS MS F р Regression 2 2. 0735 1.0368 0.000 Error 42 0.1015 0.0024 Total 44 2.1751 What is the test statistic to determine if gender is a good predictor in this model? 432 0-22.62 -19.32 20.78 23.84 MacBook Air DOO
1 Hour 2 The computer output shown below is part of the repression analysis to predict the height of the gold medal winning high jump in the Olympics based on year and gender coded as males, females-1). Predictor Coef SE Coef т р Constant -9.0965 0.4708 -19.32 0.000 Year 0.0057426 0.0002409 23.84 0.000 Gender -0.34761 0.01537 0.000 Source DF SS MS F P Regression 2. 0735 1.0368 0.000 2 42 Error 0. 1015 0.0024 2.1751 Total 14 What is R??...
ences The computer output shown below is part of the repression analysis to predict the height of the gold medal winning high jump in the Olympics based on year and pender coded as males, females-1). 1 Hou Predictor Coef SE Coef P Constant -9.0965 0.4708 -19.32 0.000 Year 0.0057426 0.0002409 23.84 0.000 Genc -0.34761 0.01537 0.000 Source DF SS MS F P Regression 2 2.0735 1.0368 0.000 Error 42 0.1015 0.0024 Total 2.1751 This model has: O two quantitative predictors...