1. Simple Linear Regression: Involves one independent variable and one dependent variable, and it fits a straight line (linear equation) to the data points.
2. Multiple Linear Regression: Involves more than one independent variable and one dependent variable. It extends the concept of simple linear regression to multiple dimensions, fitting a hyperplane to the data.

(a) Regression Analysis Definition: Regression analysis is a statistical technique used to model and examine the relationship between a dependent variable and one or more independent variables. The goal is to understand the nature of the relationship and make predictions based on the observed data.