A. Linear regression has two main parameters: slope (weight) and intercept. The slope represents the change in the dependent variable for a unit change in the independent variable. The intercept is the value of the dependent variable when the independent variable is zero. The goal is to find the best-fitting line that minimizes the difference between predicted and actual values.