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 Electricity use y in thousands of kilowatt hours 385 3 328 8 265 4 368 2 319 9 364 5 297 7 263 6 323 8 339 2 298 1 302 9 91 3 346 7 72 2 238 8 75 8 301 4 Send data to calculator V Temperature x in degrees Fahrenheit 96 6 81 4 70 8 84 9 88 9 95 3 70 3 83 0 90 7 94 9 95 7 82 7 37 219 98 26 764 32 18 790 32 31 260 18 28 439 11 34 736 85 20 928 31 21 878 8 29 368 66 32 190 08 28 528 17 25 049 83 31 653 71 17 241 36 22 846 12 Electricity use In thousands of kilowatt hours S Figure 1 400 375 130 125 300 275 250 225 4 Lyr 20 75 40 AS 90 Temperature in degrees Fahrenheit 91 100 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 n B