Overview for Fitted Line Plot

Use Fitted Line Plot to display the relationship between one continuous predictor and a response. You can fit a linear, quadratic, or cubic model to the data. A fitted line plot shows a scatterplot of the data with a regression line representing the regression equation.

For example, an engineer at a manufacturing site wants to examine the relationship between energy consumption and the setting of a machine used in the manufacturing process. The engineer thinks the relationship between these variables is curvilinear. Therefore, the engineer created a fitted line plot and fits a quadratic model to the data.

Where to find this analysis

To create a fitted line plot, choose Stat > Regression > Fitted Line Plot.

When to use an alternate analysis

If you have one categorical predictor and no continuous predictors, use One-Way ANOVA.
If you have more than one predictor, use Fit Regression Model.
If you have only categorical variables for both the response and predictors, go to What is a generalized linear model? to learn which type of regression analysis to use.