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Multiple Linear Regression

Multiple Linear RegressionSong GeBSN, RN, PhD CandidateJohns Hopkins University School of Biostatistics for Evidence based PracticeLearning ObjectivesBy the end of this module, you will be able to:1. Articulate assumptions for Multiple Linear regression2. Explain the primary components of Multiple Linear regression3. Identify and define the variables included in the Regression equation4. Construct a Multiple Regression equation5. Calculate a predicted value of a dependent variable using a Multiple Regression equationLearning Objectives Cont d6.

Linear regression assumes a linear relationship between independent variable(s) and dependent variable • Linear regression allows us to predict an outcome based on one or several predictors • Linear regression allows us to explain the interrelationships among variables • Linear regression is a parametric test

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