1. Which of the following relations would you expect to most closely fit a linear model for professional basketball players? Explain. a) height versus number of rebounds b) height versus number of fouls The table shows a patient's temperature taken over a period of 14 h. 08:00 10:00 12:00 14:00 16:00 18:00 20:00 22:00 Temperature 39.0 39.5 39.5 40.0 40.5 38.0 3?.5 38.0 (C1_v a) Draw a scatter plot of temperature versus time. Predict a value for the correlation coefficient, r. b) Determine the equation of the line of best fit and calculate the correlation coefficient, r. c) Explain why you should not use the equation from part b to predict the patient's temperature at midnight. This data shows the fuel consumption in liters per 100 km for engines of various sizes. Engine Size (L) x Fuel Consumption U100 km a) Enter the engine sizes in list L1 and the fuel consumptions in list L2. Determine the equation of the line of best fit. b) Graph the line of best fit and the scatter plot on the some screen. How well does the line fit the data? Explain c) Use the equation from part A to predict the fuel consumption for an engine of 2.5 L and 5.0 L. d) Determine the correlation coefficient. e) How well does the line of best fir calculated in part of exercise 5 model the relationship between engine size and fuel consumption