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, J xy (in degrees (in thousands Fahrenheit) of kilowatt hours 70.3 267.2 18,784.16 400 97.7 300.2 29,329.54 375 37.8 308.2 27,059.96 350 82.9 265.4 22,001.66 325- 74.9 283.3 21,219.17 Electricity use (in thousands of kilowatt hours 300- 72. 1 301.7 1,752.57 93.0 347.6 32,326.8 275- 94.1 356.2 33,518.42 250 96.2 341.6 32,861.92 225- 81.1 301.2 24, 427.32 -> 90 95 100 82.5 332.0 27,390 84.4 347.3 29,312.12 Temperature (in degrees Fahrenheit) 89. 313.5 27,932.85 Figure 1 72.0 229.6 16,531.2 37 . E 390.5 38,112.8 Send data to calculator 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.) Save For Later Submit Assignment 2022 McGraw Hill LLC. All Rights Res rved. Terms of Use | Privacy Center | Acc X V O