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Oct 31, 2024
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STAT 3810 - Regression Analysis Basic linear algebra, correlation, simple linear regression, the principle of least squares, inferences on regression parameters, confidence and prediction envelopes, residuals. Multiple regression, multicollinearity, polynomial regression, model building for regression, diagnostics and remedial measures, logistic regression. Conceptual foundations are addressed as well as hands-on use for data analysis. Prerequisite(s): Grade of “C” or better in MATH 1070 (or MATH 1070H ), and STAT 2010 /MATH 1020 ) (or STAT 2015 /STAT 2015D ) or permission of the instructor. (3)
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