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

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

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

First, multiple linear regression models are considered and the design matrices are allowed to be different. Second, the predictor variables are either unconstrained or constrained to finite intervals ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

The problem of assessing influence and detecting influential cases in multiple linear regression with incomplete data is considered. A case is said to be influential if appreciable changes in fitted ...