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An electric utility wishes to examine the relationship between temperature and electricity use in its service region during the summer months. The bivariate data below give the maximum temperature (denoted by x, in degrees Fahrenheit) and the electricity use (denoted by y, in thousands of kilowatt hours) for a random sample of fifteen summer days. The data are shown in the Figure 1 scatter plot. Also given is the product of the temperature and the electricity use for each of the fifteen days. (These products, written in the column labelled "xy", may aid in calculations.) Temperature, Electricity use, y (in thousands xy (in degrees Fahrenheit) of kilowatt hours) 69.7 294.4 20,519.68 400 93.1 346.3 32,240.53 375 98.8 299.0 29,541.2 350- 82.6 322.4 26,630.24 325- 75.3 290.7 21,889.71 Electricity use (In thousands of kilowatt hours) 300- 83.3 363.2 30,254.56 89.9 309.6 27,833.04 275 71.0 235.5 16,720.5 250- 81.3 297.6 24,194.88 94.1 356.5 33,546.65 75 80 85 89.8 90 95 100 305.5 27,433.9 96.3 340.1 32,751.63 Temperature 83.5 248.9 20,783.15 (in degrees Fahrenheit) Figure 1 71.9 278.2 20,002.58 98.7 388.0 38,295.6 Send data to calculator What is the sample correlation coefficient for these data? Carry your intermediate computations to at least four decimal places and round your answer to at least three decimal places. (If necessary, consult a list of formulas.)