Interpret the coefficient of determination. Choose the correct answer below. O A. The value of the coefficient of determination is a descriptive measure of the proportion, or percent, of the total variability that is explained by the regression model. O B. The value of the coefficient of determination is a descriptive measure of the proportion, or percent, of values that are not considered outliers. O C. The value of the coefficient of determination is a descriptive measure of the proportion, or percent, of values that are considered outliers. O D. The value of the coefficient of determination is a descriptive measure of the proportion, or percent, of the total variability that is not explained by the regression model. Compare the coefficient of determination with the sample correlation for these data, r2 0.417. Choose the correct answer below. O A. The sample correlation is about half of the coefficient of determination. O B. The sample correlation is the square root of the coefficient of determination. O C. The sample correlation is about twice the coefficient of determination. O D. The sample correlation is the coefficient of determination squared.Refer to the data below which contains the percentage change (x) in a stock market index over the first five trading days of the year and percentage change (y) in the index over the whole year. The linear regression line for the data is given below. Find and interpret the coefficient of determination. y; = 12. 1620 + ( - 1.9051)X; (x) 1.4 0.4 - 0.3 2.7 2.3 - 1.5 - 1.5 5.5 - 1.3 1.4 1.4 - 4.8 0.5 0 (y) 14.9 - 9.2 19.6 20.3 - 3.5 27.6 22.6 2.3 11.7 26 - 4.2 20.2 - 0.1 . . .. . R