A core assumption of linear regression is that the dependent variable and independent variables relate linearly. Fortunately, if the relationship is not linear, linear regression techniques may still work, but require transformations of the data. One such transformation is a log-log transformation. What is a limitation of a log-log transformation?
A core assumption of linear regression is that the dependent variable and independent variables relate linearly. Fortunately, if the relationship is not linear, linear regression techniques may still work, but require transformations of the data. One such transformation is a log-log transformation. What is a limitation of a log-log transformation?
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 5PPS
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- A core assumption of linear regression is that the dependent variable and independent variables relate linearly. Fortunately, if the relationship is not linear, linear regression techniques may still work, but require transformations of the data. One such transformation is a log-log transformation.
- What is a limitation of a log-log transformation?
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