Exercise 15.40 Algo (Residual Analysis) Question 1 of 1 Hint(s) Check My Work Data for two variables, x and y, follow. 22 24 25 28 40 12 21 31 35 70 a. Develop the estimated regression equation for...


please assist with this NON GRADED problem, the x's come from me clicking check my work.


Exercise 15.40 Algo (Residual Analysis)<br>Question 1 of 1<br>Hint(s)<br>Check My Work<br>Data for two variables, x and y, follow.<br>22<br>24<br>25<br>28<br>40<br>12<br>21<br>31<br>35<br>70<br>a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number.<br>b. Compute the standardized residuals for these data (to 2 decimals). Do not round your intermediate calculations. Enter negative value as negative number.<br>Standardized<br>Residual<br>22<br>12<br>24<br>21<br>25<br>31<br>28<br>35<br>40<br>70<br>Can any of these observations be classified as an outlier? Explain.<br>

Extracted text: Exercise 15.40 Algo (Residual Analysis) Question 1 of 1 Hint(s) Check My Work Data for two variables, x and y, follow. 22 24 25 28 40 12 21 31 35 70 a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number. b. Compute the standardized residuals for these data (to 2 decimals). Do not round your intermediate calculations. Enter negative value as negative number. Standardized Residual 22 12 24 21 25 31 28 35 40 70 Can any of these observations be classified as an outlier? Explain.

Jun 08, 2022
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