v Managers of an outdoor coffee stand in Coast City are examing the relationship between (hot) coffee sales and daily temperature, hoping to be able to predict a day's total coffee sales from the maximum temperature that day. The biyariate data values for the coffee sales {denoted by y, in dollars) and the maximum temperature {denoted by x, in degrees Fahrenheit) for each of fteen randomly selected days during the past year are given below. These data are plotted in the scatter p in Figure 1. Temperature.- X {in degrees Fahrenheit] 45.5 38.5 Law-. [Zin dollars] t 51.1 3?.9 . We 1' x 315.1 x 314.3 314.9 . "WT " 53.1 . A.\" 1'03 81.? 33w. I .xx 59.1 . w i i i _L i l 3- 5?.0 58.5 Figure :l 45.3 {Send data m calculator v '2' ':'Send data m Emei '2:- The least-squares regression line for these data has a slope of approximately 10.05. Answer the following. Carry your intermediate computations to at least four decimal places, and round your answers as specied below. (If necessary, consult a list of formulas.) What is the value of the g-intercep_t of the least- squares regression line for these data? Round your I] answer to at least two decimal places. What is the value of the sample correlation coefficient for these data? Round your answer to at least three E] decimal places