Reminder: Please complete the O’Reilly login steps (See the Accessing O’Reilly link in the Week 1 Resources area) where you get an email that will allow your browser to keep your password, solving future access limitations.
365 Careers. (2018). R Programming for statistics and data science. Packt Publishing.
Read Chapter 11: Linear Regression Analysis.
The Chapter 11 video discusses the linear regression model, the difference between correlation and regression, how to interpret the regression table, and R-squared.
Schmuller, J. (2017). Statistical analysis with R for dummies. O'Reilly Media, Inc.
Read Chapter 14: Regression: Linear, Multiple, and the General Linear Model
This chapter explains the difference between different regression models and describes the process for implementing linear regression in R.
Mount, J., & Zumel, N. (2019). Practical data science with R (2nd ed.). Manning Publications.
Read Chapter 7: Linear and logistic regression.
Chapter 7 provides valuable information on linear and logistic regression and how each type of model is used to make predictions.
