Eighteen pairs of measurements were taken at random to estimate the relation between variables X and Y. A least-squares line was fitted to the collected data. The Residuals 1,000 500 0 -500 -1,000 0 50 100 X O The variables X and Y are not related at all. 150 Which of the following conclusions is appropriate? The assumption of the Law of Averages has been violated. 200 ܀ A line is an appropriate model to describe the relation between X and Y. 250

Look at the data below regarding the variables x = lowest barometric pressure as a cyclone approaches and y = maximum wind speed of the cyclone. Is the value of |r| large enough to conclude that lowest barometric pressure and wind speed of a cyclone are correlated? Use ? = 0.01. (Round your answer for r to four decimal places.) x 1004 975 992 935 970 928y 40 100 65 145 70 151            r = ______critical r = ______

K The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 63 inches. Is the result close to the actual weight of 532 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r. 58 50 65 59 59 48 D 414 312 499 450 456 260 =+x (Round to one decimal place as needed.) What is the best predicted weight of a bear with a chest size of 63 inches? The best predicted weight for a bear with a chest size of 63 inches is 566 pounds. 3 ▸

I need help with c, d, and e, please.