Question

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 100, in increments of 20; and vertical axis, y, which ranges from 0 to 200, in increments of 40. 1 large point is plotted at (5, 160). 10 individual data points are plotted as follows. (8, 19), (65, 129), (77, 164), (47, 65), (8, 24), (0, 2), (6, 16), (56, 87), (58, 144), and (98, 172). A line rises through (5, 40), (60, 120) and (75, 140). All values estimated. Consider removing the point (5, 160)(5,160)(, 5, comma, 160, )and calculating a new least-squares regression line. What effect(s) would removing this point have? brainly

Answer 1

Answer:

All three choices would occur, and are all correct.

Step-by-step explanation:

The y-intercept of the least-squares regression line would decrease.

The standard deviation of the residuals would decrease.

The correlation coefficient (r) would get closer to 1.

glad to help :)