Regression 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. Explain what a log-log transformation is. When is a log-log transformation used? What is a limitation of a log-log transformation?
Regression 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. Explain what a log-log transformation is. When is a log-log transformation used? What is a limitation of a log-log transformation?
Chapter3: Polynomial Functions
Section: Chapter Questions
Problem 18T
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- Regression 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.
- Explain what a log-log transformation is.
- When is a log-log transformation used?
- What is a limitation of a log-log transformation?
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