{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Chapter-4-09-110

Chapter-4-09-110 - Chapter 4 More on TwoVariable Data...

This preview shows pages 1–5. Sign up to view the full content.

Chapter 4: More on Two- Variable Data

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Section 4.1: Transforming Relationships Nonlinear relationships between two quantitative variables can sometimes be changed into linear relationships by transforming one or both of the variables. When the variable being transformed takes only positive values, the power transformations are all monotonic. This implies that there is an inverse transformation that returns to the original data from the transformed values. 2
Transformation is particularly effective when there is reason to think that the data are governed by some mathematical model. We can fit exponential growth and power models to data by finding the least- squares regression line for the transformed data, then doing the inverse transformation. 3

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Section 4.2: Cautions about Correlation and Regression Correlation and regression are powerful tools for describing the relationship between two variables. When you use these tools, you must be aware of their limitations, beginning with the fact that correlation and regression describe only
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

Page1 / 24

Chapter-4-09-110 - Chapter 4 More on TwoVariable Data...

This preview shows document pages 1 - 5. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online