MATH 4100 Linear Regression

Prerequisite: C or better in MATH 2600, or permission of the instructor. This course is a continuation of MATH 2600. It introduces correlation, simple and multiple linear regression, logistic regression. Topics include: correlation, estimation via least squares, inference for the intercept and coefficients of a linear model, binary response variables and log-linear models.

Credits

3