Customize the scatterplot

Click the graph to select it, then click the plus sign beside the graph and select items to display on the graph. The following information describes some of the items on the Graph Elements menu.

Regression Fit

Add a regression fit line to the scatterplot to model relationships in your data. If a model fits well, you can use the regression equation for that model to describe your data. Minitab adds a regression table to the output pane that shows the regression equation and the R-squared value (R-sq). The default model for Minitab's regression fit is a linear model that includes the y-intercept. To change the regression model, click the triangle next to Regression Fit ( ).

Choose a model
Select the model for the regression fit line.
A linear model can show a steady rate of increase or decrease in the data.
A quadratic model (often approximately in the shape of a U or an inverted U) can explain curvature in the data.
A cubic model can describe a "peak-and-valley" pattern in the data.
Choose whether to fit the y intercept
By default, Minitab includes a term for the y-intercept. Usually, you should include the intercept in the model. However, you can consider removing the intercept if the predicted response value is 0 when the predictor is 0. To fit the regression line without the y-intercept, deselect Fit Intercept.
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