these are the values in irwins data set. (1, 43), (3, 36), (5, 22), (6, 25), (8, 14) irwin determined the…

these are the values in irwins data set. (1, 43), (3, 36), (5, 22), (6, 25), (8, 14) irwin determined the equation of a linear regression line, and determined that these are the predicted values. (1, 44), (3, 35), (5, 26), (6, 22), (8, 13) use the point tool to graph the residual plot for the data set.

these are the values in irwins data set. (1, 43), (3, 36), (5, 22), (6, 25), (8, 14) irwin determined the equation of a linear regression line, and determined that these are the predicted values. (1, 44), (3, 35), (5, 26), (6, 22), (8, 13) use the point tool to graph the residual plot for the data set.

Answer

Explanation:

Step1: Recall residual formula

Residual = Observed - Predicted.

Step2: Calculate residuals for each data - point

For (1, 43) and (1, 44): Residual = 43 - 44=-1. For (3, 36) and (3, 35): Residual = 36 - 35 = 1. For (5, 22) and (5, 26): Residual = 22 - 26=-4. For (6, 25) and (6, 22): Residual = 25 - 22 = 3. For (8, 14) and (8, 13): Residual = 14 - 13 = 1.

Step3: Plot the points

Plot the points (1, - 1), (3, 1), (5, - 4), (6, 3), (8, 1) on the given grid.

Answer:

Plot the points (1, - 1), (3, 1), (5, - 4), (6, 3), (8, 1) on the residual - plot grid.