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

Its content features papers that describe new statistical techniques, illustrate innovative application of known statistical methods, or review methods, issues, or philosophy in a particular area of ...

Note that I have excluded “AirEntrain” at this point because it is categorical. As we have seen in Excel, SAS Enterprise Guide, and R, including categorical variables in a linear regression requires ...

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 ...

The Regression Discontinuity Design (RDD) is one of the emerging methodology for recent policy impact assessment area. But based on the unique nature of RDD, its assumptions for practical application ...