MATH 5720 Applied Regression Analysis

This is an applied linear regression course that involves hands-on data analysis. Students enrolling for this course should have taken at least one other statistics course and should be conversant with the basic fundamentals of statistical testing and estimation. Generally, statistical regression is collection of methods for determining and using models that explain how a response variable (dependent variable) relates to one or more explanatory variables (predictor variables). Prerequisite(s): MATH 5310 and MATH 5320
Credits: 3.0