Applied Linear Modeling

3 units

This course is an introduction to applied linear regression and analysis of variance. The course will cover simple linear regression, multiple linear regression, and simple experimental design. Emphasis will be placed on estimating, interpreting, and using statistical inference to answer scientific questions. This course is intended for students who would like to further their statistical knowledge past the level of introductory statistics, but without pursuing a statistics or data science major. This course will count as an elective for the minor in statistics, but not for the majors in statistics or data science. Statistics and data science majors should take SDS 439.