PARTICIPATION ACTIVITY 6.3.2: Coefficient of determination. Consider a body fat model with two predictor variables, X2 = midarm circumference and X3 = thigh circumference. The analysis of variance table is given below. sum_sq df F PR( >F ) X23 384. 279719 2.0 29.39775 0. 009003 Residual 111.109781 17.0 NaN NaN Run example 1) What is the variance explained by X2 and X3? Type as: ###.# # # # # # Incorrect 495.3895 The explained variance is given by sum_sq for X23. Check Show answer 2) What is the total variance? Type as: ###.### Check Show answer 3) What percent of the variance in body fat can be explained from the variance in X2 and X3? Type as: ##.#% Check Show answer Feedback