2. a. Look at the scatterplot below with height on the X-axis and wrist diameter on the Y-axis. b. Use the five-step hypothesis testing procedure to determine if there is a statistically significant relationship between height and wrist diameter. (Use Pearson's r) c. Use the five-step hypothesis testing procedure to determine if height is a statistically significant predictor of wrist diameter. In other words, test for the significance of the slope in the simple linear regression model. Don't forget to check all of the necessary assumptions! d. Use the five-step hypothesis testing procedure to determine if wrist diameter is a statistically significant predictor of height. All assumptions have been met. e. How was the regression model impacted when the X and Y variables were switched? (i.e., compare the regression models from parts C and D) f. Compare the p values from parts B, C, and D. g. Compute and interpret the coefficient of determination for the relationship between wrist diameter and height. h. Use the five-step hypothesis testing procedure to determine if height is a statistically significant predictor of weight. All assumptions have been met. i. Harry is an adult. He is 165 cm tall. Use your regression equation from part H to predict Harry's weight. j. Harry's actual weight is 70 kg. What is Harry's residual? k. Harry has no knowledge of statistics. How would you explain what his residual means to him? l. Levi is 7 years old. Would it be appropriate to use your regression model from part H to compute his residual? Why or why not