Circle one

1.X & Y are interchangeable on the: Correlation Regression

2.X is used to predict Y Correlation Regression

3.Which one is more interpretable: r r²

4.Which one gives you the strength of the relationship? r r²

5.Which one give you the type of relationship r r²

6.Which one can be negative rr²

True or False:

1. If you want to measure a quadratic relationship you can run a Pearson Correlation CoefficientTF

2. If either X or Y has no variance, then r will equal 0 TF

3. r is a proportion so therefore it is dimensionless TF

4. r is measured on a linear scale TF

5. r and b have opposite signs TF

6. If r = 0 then b = 0 TF

7.If I know b, then I can compute r TF

8. Correlation implies causation TF

List 3 factors to take into consideration when using running a correlation:

1.

2.

3.