New York University 1.5 credit Core Course
This course deals with the fundamental aspects of measuring and modeling relationships between variables via correlation and regression analysis. Students will learn to build and interpret simple and multiple linear regression models that use information from one or more variables to generate predictions. Methods to detect outliers and also check model assumptions will be discussed, as well as business implications of incorrect modelling.
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