1. Draw a scatterplot of Distance vs. Year (using the untransformed data) with the least-squares regression line. Does the line seem to model the relationship well? (2 points) 2. On your calculator, do a linear regression (STAT CALC 8) for these different combinations: Distance vs. ln(Year) (L1 vs. L4, if you entered the data as directed above) Ln(Distance) vs. Year (L3 vs. L2, if you entered the data as directed above) Ln(Distance) vs. Ln(Year) (L3 vs. L4, if you entered the data as directed above) (Note that the explanatory variable is always some form of "Distance.") To get the most out of this Assignment, look at a scatterplot of each of these combinations. Which transformation yields the highest correlation coefficient (Pearson's r)? sketch a scatterplot of this transformation and show the least-squares line. What is the value of r and r2 for that transformation, and what regression equation does it yield? (3 points) (Hint: Remember to include "ln" on the variables in your regression equation that have been transformed.) 3. Using the regression equation from the previous question that best fits the data, place the values of the residuals into L5. In case you forgot how to