MTH-416, REGRESSION ANALYSIS Lecture Notes - Lecture 14: Random Variable, Cumulative Distribution Function, Likelihood Function

9 views7 pages

Document Summary

In the linear regression model x , there are two types of variables explanatory variables and study variable y . These variables can be measured on a continuous scale as well as like an indicator variable. When the explanatory variables are qualitative, then their values are expressed as indicator variables, and then dummy variable models are used. When the study variable is a qualitative variable, then its values can be expressed using an indicator variable taking only two possible values 0 and 1. In such a case, the logistic regression is used. For example, y can denotes the values like success or failure, yes or no, like or dislike, which can be denoted by two values 0 and 1. 2 ik i n x ik k i where x i x . The study variable takes two values as iy or 1. 0 iy follows a bernoulli distribution with a parameter.

Get access

Grade+20% off
$8 USD/m$10 USD/m
Billed $96 USD annually
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
40 Verified Answers
Class+
$8 USD/m
Billed $96 USD annually
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
30 Verified Answers

Related Documents

Related Questions