Linear regression predicts continuous outcomes, assuming a linear relationship between variables. It’s great for things like predicting house prices.

The core difference between linear and logistic regression is in the nature of the dependent variable they predict. Linear regression is used for continuous variables, while logistic regression is ...

Each of these elements should be numeric. More specifically the predictive variable needs to be numeric and continuous, but the explanatory variables can be discrete and numeric. The equation can be ...

Nonetheless, there are cases where special smoothing techniques are required. In this study, we consider one of these special cases, and we use the well-known local regression method as smoothing ...