Walsh University Undergraduate Catalog 2013-2014
MATH 431 Applied Regression and Time Series Analysis 3 sem. hrs.
Applied Regression Analysis emphasizes the concepts and the analysis of data sets. It provides a review of the key concepts in simple linear regression, matrix operations, and multiple regression. Methods and criteria for selecting regression variables and geometric interpretations are discussed. Polynomial, trigonometric, analysis of variance, nonlinear, time series, logistic, random effects, and mixed effects models are also discussed. Detailed case studies and exercises based on real data sets are used to reinforce the concepts.
Up one level
Click arrowheads to expand or collapse contents