In this video tutorial Dr. Thomas Willemain, co–Founder and SVP Research at Smart Software, presents Linear regression. Linear regression is commonly used for predictive analysis and modeling to quantify the relationship between one or more predictor variable(s) and one outcome variable. For example, it can be used to quantify the relative impacts of gender, age (the predictor variables) on weight (the outcome variable). Linear regression is also known as multiple regression, multivariate regression, ordinary least squares, and regression.
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