Which of the following best describes the residuals in regression analysis?
A)The residuals are the difference between x data values observed and x predicted model values.
B)The residuals are the difference between the actual slope and the predicted model slope.
C)The residuals are the difference between the y data values observed and the predicted y model values.
D)The residuals are the addition of the y data values observed and predicted model values.

Question

Quizplus · Accepted Answer

Residuals in regression analysis are the differences between the observed y values and the predicted y values from the regression equation. This means that the residual represents the amount of variation in the y variable that is not explained by the regression equation. Choice A describes the difference between x values, not residuals. Choice B describes the difference between slopes, not residuals. Choice D describes the sum of y values, which is not what residuals represent.

Which of the Following Best Describes the Residuals in Regression