Exercise 15.40 Algo (Residual Analysis) Ques Data for two variables, @ and y, follow. Check M a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number, Y= b. Compute the standardized residuals for these data (to 2 decimals). Do not round your intermediate calculations. Enter negative value as negative number. Standardized L W Residual 22 12 24 21 25 31 28 35 40 T0 Can any of these observations be classified as an outlier? Explain. c. Develop a standardized residual plot for y- A Standardized Residual -7 10 20 30 40 SO 60 70 Fitted Value -2 B Standardized Residual -1 10 20 30 . 40 60 70 Fitted Value -28 Practice B Standardized Residual -7 10 20 30 6 40 50 60 70 Fitted Value -2 C Standardized Residual -7 10 20 30 40 60 70 Fitted Value - Select your answer - * Does the residual plot support the assumptions about &? Explain,C Standardized Residual 10 20 30 40 SO 60 70 Fitted Value - Select your answer - v Does the residual plot support the assumptions about ? Explain, With only 5 observations, it - Select your answer - V difficult to determine if the model assumptions are violated