In statistics, we use linear models to model the relationship between a dependent variable and one or more predictor variables.
As an example, let's suppose we have n observations Yi and p predictors xj, where n > p. We can write each observation as follows:
For all cases of , we can assume the following:
- are the unknown, fixed parameters that we want to figure out
- are the values of the p predictors for the ith response
- are ...