CSC601 Lecture Notes - Lecture 2: Nonlinear Regression, Regression Analysis, Dependent And Independent Variables
Document Summary
Regression: regression is a statistical method used to analyze the relationship between a dependent variable and one or more independent variables. It is used to predict the value of the dependent variable based on the values of the independent variables. Types of regression: simple regression involves a single independent variable and a dependent variable. The purpose of this method is to establish a relationship between the two variables, and to use the independent variable to predict values of the dependent variable. Multiple regression involves two or more independent variables and a dependent variable. The purpose of this method is to determine the relationship between the dependent variable and the independent variables, and to use those variables to predict values of the dependent variable. Linear regression is a type of regression analysis where the relationship between two variables is modeled as a linear function.