Using your area of interest, think of two variables you think would have a: (a) Strong, positive linear correlation (b) Strong, negative linear correlation (c) Weak linear correlation Using the data collected from agencies pick two variables you think may have a correlation and provide the following: (a) Display the scatterplot and describe the relationship.

(b) Calculate the sample correlation coefficient, r.

(c) Interpret the value of the correlation, r in the context of your data.

(d) State the equation for the line of Best Fit (a.k.a Regression Line).

(e) Give an example of using your regression equation to make a prediction using an x-value that makes sense for your data.

(f) For your 2 variables, does it make sense to use the regression equation to make predictions? Why or why not?