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 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 This model has: two categorical predictors one quantitative predictor, one categorical predictor, and interaction two quantitative predictors two quantitative predictors and interaction two categorical predictors and interaction Oone quantitative predictor and one categorical predictor