Making predictions with regression analysis in MATLAB

Having explored numerous instances of linear regression, we can confidently assert that we comprehend the underlying mechanisms of this statistical method. Non-linear regression is used to model the relationship between a dependent variable and one or more independent variables when the relationship is not linear. In contrast to linear regression, where the relationship is assumed to be a straight line, non-linear regression allows for more complex and flexible relationships between variables.

Up until now, we have exclusively employed continuous variables as predictors. However, what transpires when the predictors are categorical variables? No need to fret, as the fundamental principles of regression techniques remain unchanged.

Multiple linear regression with categorical predictor

Categorical variables differ from numerical ones as they do not stem from measurement operations but rather from classification and comparison...