LibGuides: TIM-6501 V3: Week 7 Resources

Week 7 Resources

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.

R Programming for Statistics and Data Science
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.
Statistical Analysis with R for Dummies
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.
Practical Data Science with 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.

Business Scenarios
Use this file to successfully complete your assignment.
SUDS Data Set
SUDS Data Dictionary
TURNKEY Data Set
TURNKEY Data Dictionary