Linear Regression is a statistical method used to predict the value of a dependent variable based on the value(s) of one or more independent variables.
The target variable in Linear Regression is always continuous, meaning it can take any numeric value within a range.
For example, predicting house prices, income, temperature, or sales figures are typical tasks for linear regression.
Categorical variables require classification algorithms, not regression.
Discrete and binary variables can be handled by classification methods or logistic regression.
Therefore, the correct answer is Continuous.