Beyond Linear Regression

While linear regressions are widely popular in predictive modelling, they don't always work. Fortunately, there's a wide array of statistical methods that can be to model relationships between variables when the assumption of a linear relationship is not appropriate. These techniques, such as polynomial, exponential, logarithmic, and logistic regression allow for capturing more complex and non-linear patterns in data, leading to more accurate predictions and insights. They are essential when the relationship between the independent and dependent variables curves or changes direction.

Visit the following resources to learn more:

• @course@Intro to Inferential Statistics
• @article@Nonlinear regression
• @video@Nonlinear regression - the basics