Regression analysis is the study of the relationship between two or more phenomena. In particular, statisticians often use linear regression to find out how closely two things are correlated.

Part 3: Correlation
1. Graph a scatterplot comparing the two sets of data.
2. Find equation for regression line and graph it on your scatterplot.
3. What is the value of r²? Is it what you expected?
4. If r² > :5, then why do you think your data was so closely correlated? If r² < :5, then why do you think
your data wasnt so well correlated?
5. If you could test for other lurking variables, what would they be and why?
6. Does it make sense to interpolate or extrapolate based on your regression data? Why or why not?

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