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 ...

Multiple Regression You can create multiple regression models quickly using the fit variables dialog. You can use diagnostic plots to assess the validity of the models and identify potential outliers ...

In this paper, we consider the problem of determining the number of structural changes in multiple linear regression models via group fused Lasso. We show that with probability tending to one, our ...

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

Course TopicsIn this short course we will cover how to analyze simple and multiple linear regression models. You will learn concepts in linear regression such as:1) How to use the F-test to determine ...