ABSTRACT
This chapter introduces the foundational premise of the General Linear Model in the context of the Mean model and Simple Linear Regression. Consideration is given toward calculating and interpreting residuals, standard error of the mean, confidence intervals, mean square error and root mean square error, effect size, and other related statistics both by hand and using convenient functions. Forecasting procedures are also introduced.
