HW 12.4-12.6 Score: 0/24 0/24 answered . Question 22 Examine the scatterplot for the data in the table below. y 0 3 12 5 6 7 31 19 14 23 16 30 17 33 19 36 20 40 40+ 35 . . . 30+ 25 20 15 10 5 5 10 15 2c There seems to be an outlier. Enter as a point:a. {any} = To determine if this is truly an outlier, we first need to find the standard error of the estimate, 38. Find the regression equation, round the slope and y-intercept to 2 decimals, and then use that equation to find the standard error. Round this answer to one decimal. b. Se = What y-value is the cutoff beyond which the point (7, 31) would be considered an outlier? c. The cutoff is y = d. Is the point (7, 31) an outlier? '7'33' Yes it? N o HW 12.4-12. 6 Score: DIN 0524 answered 0 Question 24 v A football coach is Looking for a way to identify players that are "under weight". The coach decides to get data for each player's height [23, in inches] and weight (3;, in pounds), then does a Linear regression. The results are: 3; = 55 + 3.6351" = 0.9 and the standard error is Se = 11.1. Since there is a strong linear correlation the coach, who also majored in Statistics, decides to identify all "outliers" in the data. Obviously, any player whose weight is above the regression line is not "under weight". 50 the only outliers the coach is interested in are those that are below the regression line. What is the lowest weight possible for a 55 inch player to not be considered "under weight"? Do not round