What does the residual plot tell you in a simple linear regression analysis?
- It shows the distribution of residuals and can help identify non-linearity, unequal error variances, and outliers
- It shows the distribution of the independent variable
- It shows the relationship between the dependent and independent variables
- It tells you the strength of the correlation
A residual plot is a graph that shows the residuals on the vertical axis and the independent variable on the horizontal axis. It helps to identify non-linearity, unequal error variances (heteroscedasticity), and outliers. If the points in a residual plot are randomly dispersed around the horizontal axis, a linear regression model is appropriate for the data; otherwise, a non-linear model is more appropriate.
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