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 Year -9.0965 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 N Regression 2 Error Total DF SS MS F P 2. 0735 44 42 0. 1015 1.0368 0.0024 0.000 44 2.1751 How should we interpret the coefficient of year? O none of the other answers are correct O Since the Olympics happen every four years, the model predicts that for the next Olympic games the winning height will be .02297 meters higher than the last one (for each gender). On average, the winning height increases by .057426 every ten years (for each gender). O all of the other answers are correct Each year we expect the winning height to be .0057426 meters higher that the previous year (for each gender).