Year	New (X)	Used Y)
1992	333,081	25,309
1993	379,522	28,310
1994	435,661	33,208
1995	464,642	37,840
1996	502,340	42,449
1997	518,972	46,537
1998	542,813	51,873
1999	606,662	56,797
2000	630,962	58,726
2001	651,478	59,373
2002	647,038	61,827
2003	661,847	65,331
Instructions. The data on the number of cars sold per year for new and used cars are presented in the Excel sheet that is attached to this e-mail. Our interest is to see what relationship exists between these two variables and to predict used car sales (Y) using new car sales (X). In their analysis they should indicate the following: 1. Interpret the correlation coefficient. What is its value and its significance? 2. Interpret the coefficient of determination. What is its value and its significance? 3. What is your value of the Y-intercept and its meaning? 4. What is the value of the slope and its meaning? 5. Develop a regression equation. 6. Make a prediction when x is 600,000.