| Tag | Value |
|---|---|
| file | Assumptions_uu-Homoscedasticity-023-en_uu-Homoscedasticity-023-en |
| name | uu-Homoscedasticity-023-en |
| section | Assumptions/Homoscedasticity |
| type | schoice |
| solution | FALSE, FALSE, FALSE, TRUE |
| Type | Performing analysis |
| Program | |
| Language | English |
| Level | Statistical Literacy |
One of the conditions of a regression analysis is about “homoscedasticity.” Which graph is best to use to check this condition?
Homoscedasticity means that the spread in residuals for each X value is approximately equal. In other words, that the dispersion in residuals for each predicted value is about the same. You can check this condition with a scatterplot where you put the standardized predicted scores on the X-axis, and the standardized residuals on the Y-axis.