Multiple linear regression should be used when multiple independent variables determine the outcome of a single dependent variable. This is often the case when forecasting more complex relationships.

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

Discover the fundamentals of linear regression and its applications. Learn more and enhance your data analysis skills today.

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

Regression Analysis Using JMP Course Topics This short course provides an introduction to regression analysis, a commonly used method to study the relationship between a response variable and one or ...

Multiple and Non-Linear Regression The variable you are trying to estimate is referred to as dependent, while the variable you use in the model to predict the dependent variable is called independent.

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.