42) How are residual plots used to evaluate the assumptions of linear multiple regression?
If the residuals plotted against the predicted (fitted) values show roughly even distribution around the zero line then that supports the assumption that the distribution of the residuals have equal variances.
If the residuals plotted against the predicted (fitted) values show more positive errors than negative errors then that supports the assumption that the distribution of the residuals have equal variances.
If the residuals plotted against the predicted (fitted) values show more negative errors than positive errors then that supports the assumption that the distribution of the residuals have equal variances.
Only if the residuals are all zero is the assumption of equal variance supported.
41) The residuals should come from a ______ distribution.
Normal
t
F
Poisson
40) Define the residual.
The difference between the actual Y value and the predicted Y value
The difference between the average Y value and the predicted Y value
The difference between the average Y value and the predicted X value
The difference between the average X value and the predicted Y value