115.8

100.0

118.1

110.3

115.0

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

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

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.