An electric utilityI 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] fora random sample of sixteen 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 sixteen days. {These products, written in the column labelled "x , may aid in calculations.) Temperature, {in degrees Fahrenheit] Electricity u so, J' {in thousands of kilowatt hours) 350.3 29,520.41 25.1 285.3 305.2 21,551.33 21,512.36 33,552.12 28,525.15 22,145 29.4 22,200.46 29,145.5 32,292.9 15,9215 25,922.53 22,095.03 92.1 38,199.14 19,559.? 24,950.53 32,5215 Electricity.r use {in mousahds of kilowatt hours} 5 | Temperature (in degrees Fahrenheit) FlgLn! 1 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.) X 5 2