I have submitted the previous question.

Using the previous problem, would you be concerned that the least-squares regression equation would not be accurate for each of these values of nondominant arm strength: 8, 15, 20, 5, 30? 8 [ Choose ] extrapolation prediction 15 [ Choose ] 20 [ Choose ] 5 [ Choose ] 30 [ Choose ] vID Group NonDom Dom 2 1 Control 15.7 16.3 3 2 Control 25.2 26.9 D Question 15 1 pts 4 3 Control 17.9 18.7 5 4 Control 19.1 22.0 6 5 Control 12.0 14.8 7 6 Control 20.0 19.8 8 7 Control 12.3 13.1 9 8 Control 14.4 17.5 The following data set, Practice Problem10.xls , gives the 10 9 Control 15.9 20.1 11 10 Control 13.7 18.7 bone strengths of the dominant and the nondominant arms for 12 11 Control 17.7 18.7 13 12 Control 15 men who were controls in a study. The least-squares 15.5 15.2 14 13 Control 14.4 16.2 regression line for these data is 15 14 Control 14.1 15.0 16 15 Control 12.3 12.9 dominant = 2.74 + (0.936 X nondominant) 17 16 Baseball 17.0 19.3 18 17 Baseball 16.9 19.0 19 18 Baseball 17.7 25.2 Calculate the residual ID 9. 20 19 Baseball 21.2 37.7 21 20 Baseball 21.0 40.3 22 21 Baseball 14.6 20.8 24 23 Baseball 14.9 21.2 25 24 Baseball 15.1 19.4 26 25 Baseball 13.5 20.4 27 26 Baseball 13.6 17.1 28 27 Baseball 20.3 26.5 29 28 Baseball 17.3 30.3 30 29 Baseball 14.6 17.4 31 30 Baseball 22.6 35.0 32 33 34 D Question 16 1 pts 35