In Chapter 8, you explored simple linear regression, which depicts the relationship between the response variable and one predictor. You saw that the expectation is that the response variable is a continuous variable that is normally distributed. If the response variable is a discrete variable, you use a different regression method. If the response variable can take values such as yes/no or multiple discrete variables (for example, views such as strongly agree, agree, partially agree, and ...
© Dr. Umesh R. Hodeghatta and Umesha Nayak 2017
Umesh R. Hodeghatta and Umesh Nayak, Business Analytics Using R - A Practical Approach, 10.1007/978-1-4842-2514-1_9
9. Multiple Linear Regression
Umesh R. Hodeghatta1 and Umesh Nayak1
(1)Bangalore, Karnataka, India