The Sales Manager put the following table together: Outside Temperature Sales (Degrees F) (# of AC units) 68 72 78 7 81 12 84 15 86 16 89 22 91 18 93 19 94 26 a) Plot a scatter diagram for the data...

I need help answering parts D, E and F.

Extracted text: The Sales Manager put the following table together: Outside Temperature Sales (Degrees F) (# of AC units) 68 72 78 7 81 12 84 15 86 16 89 22 91 18 93 19 94 26 a) Plot a scatter diagram for the data provided on calculated in topic (b). Consider that: Y: number of air conditioning units sold X: outside temperature (degrees F) b) the linear regression calculation and provide the linear regression equation that describes the relationship between Y (number of air conditioning units sold) and X (outside temperature in degrees Fahrenheit. c) Calculate SST, SSE and SSR for this linear regression d) Calculate the coefficient of determination (r2) and the coefficient of correlation (r). e) Using the linear regression equation that you developed in topic (b), calculate the estimated sales for a day that will reach 84 degrees F and for a day that will reach 94 F and for both temperature levels calculate the error "e" when comparing the estimated value against the actual data provided. At which of the two temperatures, is your model more accurate? Explain. f) Calculate an estimate for the variance (o?) and the standard deviation for the linear regression model you have developed. Scanned with CamScanner