Contents
What is the horizontal line on a residual plot?
The residuals roughly form a “horizontal band” around the residual = 0 line. This suggests that the variances of the error terms are equal. No one residual “stands out” from the basic random pattern of residuals. This suggests that there are no outliers.
Is the regression line for a residual plot is a horizontal line?
II. The regression line for a residual plot is a horizontal line. I don’t think II is correct. If you have three residuals (-1,0,1) then you would have a line threw all three points.
Why are the residuals and fitted values uncorrelated?
The first plot seems to indicate that the residuals and the fitted values are uncorrelated, as they should be in a homoscedastic linear model with normally distributed errors. Therefore, the second and third plots, which seem to indicate dependency between the residuals and the fitted values, suggest a different model.
What do the residuals and fits plots look like?
Here’s what the corresponding residuals versus fits plot looks like for the data set’s simple linear regression model with arm strength as the response and level of alcohol consumption as the predictor: Note that, as defined, the residuals appear on the y axis and the fitted values appear on the x axis.
Why are there no outliers in the residual plot?
This suggests that the assumption that the relationship is linear is reasonable. The residuals roughly form a “horizontal band” around the 0 line. This suggests that the variances of the error terms are equal. No one residual “stands out” from the basic random pattern of residuals. This suggests that there are no outliers.
How are the residuals related to the error line?
The residuals “bounce randomly” around the residual = 0 line. This suggests that the assumption that the relationship is linear is reasonable. The residuals roughly form a “horizontal band” around the residual = 0 line. This suggests that the variances of the error terms are equal.