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Introduction to R for Data Science :: Session 6 [Linear Regression Model in R  + EDA, and Normality Tests]

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Welcome to Introduction to R for Data Science Session 6: Linear Regression + EDA, and Normality tests [Linear Regression in R: Exploratory Data Analysis, assumptions of the simple linear model, correlation, and visualization. Predictions from the linear model. Confidence Intervals and Residuals. Inspecting the basic linear model. Infulential cases and the Influence Plot.] The course is co-organized by Data Science…
Original Post: Introduction to R for Data Science :: Session 6 [Linear Regression Model in R  + EDA, and Normality Tests]

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