Applied Regression Analysis

Catalog description

Applied Regression Analysis: A review of statistical inference and simple linear regression. An introduction to multiple linear regression and analysis of variance using normality assumption for common experimental designs, residual diagnostics and remedial measures for violation of assumptions. In-depth treatment of the concepts of type-I and type-II error rates, power, hypothesis, testing and inference.