Suppose the following scatterplot shows data relating the number of visitors at Richmond Beach, y, on a day with a high temperature of x, in degrees Fahrenheit. The best fit line/regression line has the equation y = 14.89x – 530.6. У 800+ 700- 600- 500 400 300 200- 100- a. Do you expect the correlation between the high temperature and number of visitors to be closer to 1,0, or -1? Briefly explain. b. Explain the meaning of the slope of the regression line in terms of the high temperature and the number of visitors that day. 40 50 60 70 80 90 Hlgh temperature X c. What does the model predict for the number of visitors on a day with a high temperature of 80 degrees F? Include units in your answer. d. The actual number of visitors on the 80 degrees F day was 780. Find the residual for that day. Does the model give an overestimate or an underestimate for that day? Number of visitors