Linear Regression is a statistical technique for predicting a dependent variable's value using one or more independent variables.
The variable predicted by Linear Regression must be continuous, capable of assuming any numerical value within a spectrum.
Common applications include forecasting house prices, income, temperature, or sales.
Categorical variables are suitable for classification, not regression.
Discrete and binary variables can be addressed using classification or logistic regression.
Consequently, the appropriate variable type is Continuous.