Question 1:

a. Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (7,1), use the pairs of values for the remaining 9 points and find the equation of the regression line. 10- c. Compare the results from parts (a) and (b). 4- N X 0 - 0 2 4 6 8 10 . . . . . a. What is the equation of the regression line for all 10 points? y=[+x (Round to three decimal places as needed.) b. What is the equation of the regression line for the set of 9 points? y=(Round to three decimal places as needed.) c. Choose the correct description of the results below. O A. The removal of the point has a significant impact on the regression line. O B. The regression line is very similar in both cases. O C. There is no regression line for the second case because the data are in a pattern. O D. The regression line changes, but the change is small.Find the regression equation. letting the rst variable be the predictor (x) variable. Using the listed actress/actor ages in various years. nd the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 30 years. Is the result within 5 years of the actual Best Actor winner, whose age was 51 years? BestActress 29 31 29 61 30 35 46 28 63 21 44 54 D BestActor 43 37 39 44 51 49 58 48 41 52 43 35 Find the equation of the regression line. = +()x (Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as needed.) The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 30 years is years old. (Round to the nearest whole number as needed.) Is the result within 5 years of the actual Best Actor winner, whose age was 51 years? '7 the predicted age is E the actual winner's age. more than 5 years greater than more than 5 years less than 5 years or less from