Curvilinear Regression

Curvilinear regression is a statistical method used to understand relationships between variables when the connection isn’t a straight line. Unlike simple linear regression, which models data with a straight line, curvilinear regression fits curves—like parabolas or other smooth shapes—to better capture complex patterns. This approach helps identify how one factor influences another when the relationship twists or bends, providing a more accurate picture of the underlying trend. It’s useful in various fields where data doesn’t follow a straight path, allowing for more precise predictions and insights.