Data for two variables, x and y, follow. a. Develop the estimated regression equation for these data {to 2 decimals). Enter negative value as negative number 3;- : + a: h. Compute the standardized residuals for these data {to 2 decimals). Do not round your intenTIediate calculations. Enter negative value as negative number. Standardized 5\": 3\" Residual 22 1'2 '24 '21 25 31 28 35 40 70 Can anyr of these observations be classied as an outlier? Explain. Because - select your answer - v of the standardized residuals are less than -2 or greater than 2, - select your answer - v of the observations can be classied as an outlier. c. Develop a standardized residual plot for 1,}. A Standardized Residual! -2 l -1 1,0 2,00 3,0 4,0 5,0 6,0 7,0 fitted, Value, . I __l . .72 15.8 Practice -2 B Standardized Residual 2 .1- 10 . 20 30 - 40 5060 70 Fitted Value -1 -2 C Standardized Residual 2 10, 20 30 40 50 60 70 Fitted Value :-1 - Select your answer - Does the residual plot support the assumptions about ? Explain. With only 5 observations, it - Select your answer - |difficult to determine if the model assumptions are violated