Linear regression does not require a specific value of K, whereas KNN depends on the chosen value of K.

Linear regression can automatically handle categorical variables, whereas KNN cannot.

Linear regression is a non-parametric model, whereas KNN is parametric.

Linear regression relies on the linear relationship between variables, whereas KNN relies on similarity between data points.