Select the best answer for each problem given below. What is the equation for the least squares regression line? If a person had no change in NEA, what would his/her fat gain/loss be? What is the name of the point in the previous question? If a person had a 750 calorie change in NEA, what would his/her fat gain/loss be? Should you use the least squares regression line to predict the fat gain/loss for a person who has a 1000 calorie change in NEA? Explain your answer to the previous question. What is the correlation, r, after you remove the outlier? How does removing the outlier affect the correlation, r, in this situation? A. 3.51 B. x-intercept C. It increases the correlation -- it makes the relationship stronger. D. yes E. y = 3.505x - 0.003 F. -.851 G. It decreases the correlation -- it makes the relationship weaker. H. no I. .783 J. If the relationship is moderate or strong, then the least squares line can be used to predict the fat gain/loss for any change in NEA. K. y-intercept L. This is extrapolation and extrapolation is risky!!! The least squares linear regression line is appropriate for the range of the data. The relationship may change as you move far outside the range of the data. M. y = 3.505 - 0.003x N. 1.26 O. 245.35 P. answer is not given