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Sep 19, 2024
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STAT 538 - Statistics for Research II, Regression Modeling3 Credit Hours
Theory and applications of simple and multiple linear regression including interpretation, diagnostics, model selection, model building strategies, prediction, and fundamentals of causal inference. Logistic regression theory, model building, testing and interpretation for binary and binomial response variables are also presented. Use of statistical software required.
(RE) Prerequisite(s): 537 or equivalent.
Registration Restriction(s): Minimum student level - graduate.
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