Given charts of data that are not linear functions, we can make scatter plots of the data. We then take 2 distinct points from the line and write an equation of the "line of best" fit for the data. The equation has a correlation coefficient which tells us how closely the equation models the data. A correlation coefficient of 1 shows a positive correlation, and the equation is very close to the data. Likewise, -1 shows a negative correlation. The correlation coefficient ranges between 1 and -1. We used the graphing calculator to enter the statistical data, and it calculated the correlation coefficient. We could use the calculator's program to write the equation of the line of best fit. Marcos' assignment is p.352-353 (1-11)