A useful graph in almost any regression analysis is a scatterplot of residuals (on the vertical axis)versus fitted values (on the horizontal axis),where a "good" fit not only has small residuals,but it has residuals scattered randomly around zero with no apparent pattern.

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A scatterplot of residuals versus fitted values helps in diagnosing issues with the regression model. If the residuals are randomly scattered around zero without any apparent pattern, it indicates that the model's assumptions are likely being met, including linearity, homoscedasticity, and independence of residuals, which are crucial for a "good" fit.

A Useful Graph in Almost Any Regression Analysis Is a Scatterplot