The file grocery22 contains 50 days of data from grocery stores for four products, across five locations as well as a dummy variable that equals 1 if the temperature was above freezing sometime during that day, and zero otherwise. You are interested in a regression of revenues in Dartmouth on a constant and revenues in Truro. You also want to allow both the slope and the intercept to be affected by the temperature dummy. On the basis of the first regression you would run, and using a 20 percent level of significance, 0 Truro revenues have no influence on Darthmouth revenues, and the temperature variable affects both the slope and the intercept. O Darthmouth revenues have an important influence on Truro revenues, but the temperature variable only affects the intercept. O Dartmouth revenues have no influence on Truro revenues, and the temperature variable affects the intercept but not the slope. O Truro revenues have an important influence on Dartmouth revenues, as does the temperature variable on the intercept. O Truro revenues have an influence on Dartmouth revenues but only when the temperature was above freezing