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Nov 23, 2024
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2017-2018 Undergraduate Catalog [ARCHIVED CATALOG]
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STAT 315 - Introduction to Regression Analysis
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
A course including such topics as simple linear regression: the error model, algebraic derivation of least square estimators, estimating confidence intervals, hypothesis testing, the ANOVA approach to testing, assessing model validity, transformations, residual plots; multiple regression: the general linear model, least square estimation, prediction, residuals; and Logistic regression.
Prerequisite: STAT 202
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