Now that you've got a good sense of how to 'speak' R, let's use it with linear regression to make distinctive predictions.

Lesson 9 Simple Linear Regression The purpose of this tutorial is to continue our exploration of multivariate statistics by conducting a simple (one explanatory variable) linear regression analysis.

Of course, we need more information about the regression to make any reliable conclusions. Does the model satisfy the assumptions of linear regression? Does the model fit the data (high R 2)? The the ...

The estimation is carried out in two steps, the first step being an ordinary least squares regression. The least squares residuals are used to estimate the covariance matrix and the second step is the ...