A movie studio wishes to determine the relationship between the revenue from the streaming rental of comedies and the revenue generated from the theatrical release of such comedies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming rentals (in millions of dollars) for each of the fifteen movies. The data are displayed in the Figure 1 scatter plot. Also given is the product of the theater revenue and the rental revenue for each of the fifteen movies. (These products, written in the column labelled "xy", may aid in calculations.) Rental revenue, y (in millions of dollars) 4.5 16.0 2.7 12.2 3.2 6.1 10.8 10.2 12.0 10.8 15.3 6.2 2.6 8.9 7.9 0 Theater revenue, x (in millions of dollars) 31.6 60.9 27.9 28.2 14.8 24.7 12.8 60.8 36.0 65.7 48.9 20.6 7.1 24.5 45.4 Send data to calculator V xy 142.2 974.4 75.33 344.04 47.36 150.67 138.24 620.16 432 709.56 748.17 127.72 18.46 218.05 358.66 Rental revenue (in millions of dollars) Figure 1 18 16- 14 12- 0 10 20 30 40 50 60 Theater revenue (in millions of dollars) 70 What is the slope of the least-squares regression line for these data? Carry your intermediate computations to at least four decimal places and round your answer to at least two decimal places. (If necessary, consult a list of formulas.)