STAT441

In this course students will use linear algebra to (1) compute least-squares estimates for regression coefficients, (2) construct analysis of variance (ANOVA) and prove partition the partitioning of variability, and (3) perform prediction and statistical inference for regression models. This class will not only prove regression properties rigorously from a theoretical standpoint, but will apply models to real world data using statistical software (R).

Fall Semester