ECON 104 Lecture Notes - Lecture 27: Logarithm, Multicollinearity, Nonlinear Regression

9 views2 pages
School
Department
Course
Professor

Document Summary

Before we have assumed that true relationship between x and y is a true linear relationship. As long as x and y is a good approximation to a linear function then it works, but if it isn"t a linear function then this assumption won"t work. Ole can be modified to account for this. This doesn"t look like it"s linear or non linear except there"s probably a negative relationship. Test score and district income relationship - concave relationship between the 2. When nonlinear relationship, effect on y of a change in x depends on value of x. Marginal value of x is not constant in a nonlinear relationship. In a linear relationship, there is a constant slope, so change of y/ change in x is constant. Look for one single number that tells us effect of x on y for linear, but for non linear relationship it cannot be summarised by one single number.

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