The scatterplot below displays a set of bivariate data along with its least-squares regression line. A scatterplot has horizontal axis, x, which ranges from negative 5 to 140, in increments of 20; and vertical axis, y, which ranges from negative 40 to 15, in increments of 10. 1 large point is plotted at (130, negative 35). 10 individual data points are plotted as follows. (30, 5), (86, negative 19), (84, negative 26), (67, negative 6), (94, negative 25), (47, negative 1), (71, 0), (12, negative 1), (88, negative 19), and (16, 10). A line falls through (10, 10) and (50, negative 5). All values estimated. Consider removing the point and calculating a new least-squares regression line. What effect(s) would removing this point have? Choose all answers that apply: Choose all answers that apply: (Choice A) The coefficient of determination would increase. A The coefficient of determination would increase. (Choice B) The correlation coefficient would get closer to . B The correlation coefficient would get closer to . (Choice C) The standard deviation of the residuals would increase. C The standard deviation of the residuals would increase.
