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

Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

Here, I have had to manually create a temporary AirEntrainDummy variable in order to get the regression line to plot correctly. But you can see the basic idea: Each measure of concrete strength falls ...

Simple slopes, regions of significance, and confidence bands are commonly used to evaluate interactions in multiple linear regression (MLR) models, and the use of these techniques has recently been ...