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Undergraduate Record 2024-2025
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STAT 4120 - Applied Linear Models
Effective Date 08/01/2024
This course includes linear regression models, inferences in regression analysis, model validation, selection of independent variables, multicollinearity, influential observations, and other topics. Conceptual discussion is supplemented with hands-on practice in applied data-analysis tasks. Highly recommended: A prior course in applied regression such as STAT 3220. Prerequisite: A prior course in statistics and a prior course in linear algebra.
Requisites Students must have completed ONE of the following STAT 1601, STAT 1602, STAT 1100, STAT 1120, STAT 2020, STAT 2120, STAT 3120, APMA 3110 or APMA 3120 & ONE of STAT 3110, MATH 3350, MATH 3351, APMA 3080
Credits: 3
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