Multiple Linear Regression

Multiple linear regression (MLR)
If you're not familiar with Linear Regression, we suggest that you first read the entry on Simple Linear Regression (SLR).
Principle of Multiple Linear Regression ...

Multiple Linear Regression
This procedure allows us to perform linear regression on a particular dataset. In linear regression, X is said to be a predictor variable (independent) and Y is said to be a prediction (dependent) variable.

The multiple linear regression model has been extended in a number of ways to address more sophisticated data analysis problems.

Reading this section may give you a better preparation for further numerical analysis of curvilinear regression, multiple linear regressions and non-linear regression.

Adding more predictors to the linear equation can produce more complicated lines that take more information into account and hence make a better prediction. This is called multiple linear regression and might have an equation like the following if 5 ...

See also: Regression, Variance, Distribution, Estimation, Residual