how do I solve this? explain in the simpleestttt terms.

Teo eee ono ke a ee estat eect Managers of an outdoor coffee stand in Coast City are examining 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 bivariate data values for the coffee sales (denoted by y, in dollars) and the maximum temperature (denoted by x, in degrees Fahrenheit) for each of fifteen randomly selected days during the past year are given below. These data are plotted in the scatter plot in Figure 1. Also given is the product of the temperature and the coffee sales for each of the fifteen days. (These products, written in the column labelled "xy", may aid in calculations.) Temperature, Coffee sales, x y (in dollars) 1959.2 143,805.28 1466.4 109,980 2185.6 104,471.68 2279.0 92,755.3 1973.7 113,290.38 1762.3 119,131.48 1812.4 116,356.08 (in dollars) Coffee sales 2208.6 112,638.6 1972.5 78,111 1771.8 81,148.44 1987.8 92,631.48 Temperature (in degrees Fahrenheit) 1645.9 93,157.94 1576.3 129,098.97 1995.8 151,281.64 1682.7 121,827.48 Send data to calculator w 'Send data to Excel 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.) 0 ne