To compare these methods, I’ll fit models to the somewhat tricky curve in the fitted line plot. How do you fit a curve to your data? Fortunately, Minitab Statistical Software includes a variety of curve-fitting methods in both linear regression and nonlinear regression. ![]() This fitted line plot shows the folly of using a line to fit a curved relationship! However, not all data have a linear relationship, and your model must fit the curves present in the data. That is, if you increase the predictor by 1 unit, the response always increases by X units. ![]() We often think of a relationship between two variables as a straight line.
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