Data for two variables, and y, follow. a. Develop the estimated regression equation for these data...

 

Transcribed Image Text:

Data for two variables, and y, follow. a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number. R 22 24 25 28 41 22 3 12 23 31 35 70 b. Compute the standardized residuals for these data (to 2 decimals). Do not round your intermediate calculations. Enter negative value as negative number. = + Standardized Y Residual 22 12 24 23 25 31 28 35 41 70 Can any of these observations be classified as an outlier? Explain. c. Develop a standardized residual plot for . the observations can be classified as an outlier. Data for two variables, and y, follow. a. Develop the estimated regression equation for these data (to 2 decimals). Enter negative value as negative number. R 22 24 25 28 41 22 3 12 23 31 35 70 b. Compute the standardized residuals for these data (to 2 decimals). Do not round your intermediate calculations. Enter negative value as negative number. = + Standardized Y Residual 22 12 24 23 25 31 28 35 41 70 Can any of these observations be classified as an outlier? Explain. c. Develop a standardized residual plot for . the observations can be classified as an outlier.

Answer rating: 100% (QA)

a Developing the estimated regression equation for the data Lets denote the independent variable as ... View the full answer