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May 01, 2024
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Undergraduate/Graduate Catalog 2018-2019 [ARCHIVED CATALOG] See drop-down menu above to access other catalogs.
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MATH 350 - Regression Analysis(3 credits)
Prerequisite: MATH 202 with a minimum grade of “C-“; and MATH 200 with a minimum grade of “C-” or MATH 403 with a minimum grade of “C-“
This course provides an in-depth look at what regression is and how to effectively use it to produce and interpret statistical models. Topics include modeling assumptions, simple and multiple linear regression, covariance, correlation, confidence and prediction intervals, estimating regression parameters, tests of hypotheses about the regression coefficients, interpretations of regression coefficients especially in multiple linear models, various types of residuals, measures of influence, transformations of variables, weighted least squares, heteroscedasticity, and variable selection. Offered fall semester.
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