Example - Fuel Consumption . From the table: [ Y; = 81.7, Y X XY X; = 351.8, 12.4 28 784 347.2 X2 = 16874.76, 11.7 28 784 327.6 12.4 32.5 1056.25 403 MI X;Y; = 3413.11 10.8 39 1521 421.2 9.4 45.9 2106.81 431.46 . Once we have these values, we no 9.5 57.8 3340.84 549.1 longer need the raw data 8.0 58.1 3375.61 464.8 7.5 62.5 3906.25 468.75 . We can calculate bo and bjusing 81.7 351.8 16874.76 3413.11 Sum these values3. (10 pts) Attempting to analyze the relationship between advertising and sales, the owner of a furniture store recorded the monthly advertising budget X (in $thousands) and the sales Y (in $millions) for a sample of 6 months. The data are listed here. Advertising 23 46 60 54 28 33 Sales 9.6 11.3 12.8 9.8 8.9 12.5 Estimate with 90% confidence the mean sales when advertising budget is 90,000. Hint: convert 90,000 to values in $thousands for X. Note: [Please write down all the formula and create tables like on P40 of lecture 6a for computation, to receive full points.]