Homework Answers
ANSWER
Year is a quantative variable
Gender is a categorical variable
There no interaction term in the equation
Hence option : one quanititative predictor and one categorical predictor
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ences The computer output shown below is part of the repression analysis to predict the height...
are.com nces The computer output shown below is part of the regression analysis to predict the...
are.com nces 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 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 р Regression 2 2. 0735 1.0368 0.000 Error 42 0.1015 0.0024 2.1751 Total 44 What is the standard deviation...
Height = 0.4708 + 0.0002409 yr + 0.01537 gender height = -9.0965 + 0.4708 yr -19.32...
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...
1 Hour 2 The computer output shown below is part of the repression analysis to predict...
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??...
2.com medal winning high jump in the Olympics based on year and gender (coded as males-0,...
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
are.com nces 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 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 р Regression 2 2. 0735 1.0368 0.000 Error 42 0.1015 0.0024 2.1751 Total 44 What is the standard deviation...
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...
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??...
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
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