STAT 432 - Introduction to Linear Regression and Logistic Regression

Units: 3
Computational methods in linear regression and logistic regression. Model selection methods. Predictive modeling and forecasting. Attention to model assessment, graphical techniques, and assumption checking. Emphasis on real data from science, social sciences, and business. Use of statistical software. Report writing.

Prerequisites: STAT 330 or STAT 310.
Equivalent Quarter Course: STAT 4601.
Possible Instructional Methods: Entirely On-ground.
Grading: A-F or CR/NC (student choice).
Course Typically Offered: Spring ONLY