8 4 Table 4.2 Regression Calculations for Triple A Construction Y (X - X) (X X)(Y Y) 6 3 (3 4) = 1 (3 - 4) (6 - 7) = 1 (4 4)? = 0 (4-4) (8 7) = 0 6 (6 - 4)? = 4 (6-4) (9 7) = 4 (4 - 4)? = 0 (4-4) (5 7) = 0 4.5 (2 - 4)2 = 4 (2-4) (4.5 - 7) = 5 9.5 (5 4) = 1 (5-4) (9.5 7) = 2.5 42 24 = (x X) = 10 E (X X) (Y - Y) = 12.5 X Y 42/6 = 7 X = 24/6 = 4 5 4 2 5 = = Computing the slope and the intercept of the regression equation for the Triple A Construction Company example, we have X = 6 24 = = 4 Y Y = 6 42 6 = 7 Problem #1 - Freeze Inc. is an air conditioning company located in Lakeland, Florida. They collected data for the number of air conditioning units sold in the Central Florida area and for the outside temperature on the day that sales took place. The Sales Manager put the following table together: Outside Temperature Sales (Degrees F) (Number of air conditioning units sold) 68 4 72 5 78 8 81 10 84 14 86 15 89 21 91 20 93 22 94 25 a) (1.0 POINT) Plot a scatter diagram for the data provided on the table above and the linear regression line calculated in topic (b). Consider that: Y: number of air conditioning units sold X: outside temperature (degrees F) Guidance: graph should look like the one presented in Figure 4.2 of textbook. Graph plotted by MS Excel, as a result of the Regression function will not be accepted