33... b the mean of the Y values. The errors used in computing the sums of squares are shown on this graph. Notice how the sample points are closer to the regression line than they are to the mean....

C please. Table included

Extracted text: 33... b the mean of the Y values. The errors used in computing the sums of squares are shown on this graph. Notice how the sample points are closer to the regression line than they are to the mean. Table 4.3 Sum of Squares for Triple A Construction 2. (Y-Y)* 21 (7 - Y)* Y (Y-Ý)' (6 – 7)° = 1 (9. 2 + 1.25 (3) = 5.75 0.0625 1.563 8. 4 (8 7)2 1 2 + 1.25 (4) = 7.00 1 0. 6. (9 – 7)² = 4 2+ 1.25 (6) = 9.50 0.25 6.25 5. (5 – 7) = 4 2 + 1.25 (4) = 7.00 4 4. 4.5 (4.5 7) = 6.25 2+ 1.25 (2) = 4.50 0. 6.25 9.5 5 (9.5 7) = 6.25 2 + 1.25 (5) = 8.25 1.5625 1.563 2 >(v - F)* Y = 7 Σ(Υ- Υ = 22.5 6.875 E(Y - Y) 15.625 SST = 22.5 SSE 6.875 SSR = 15.625 Y 12 115 3. 2.


Extracted text: The figures for Triple A's revenue and the amount of money earned by wage earners in Albany - NY has been updated in 2020, and shown below: X: Local Payroll ($100,000,000s) Y: Sales ($100,000s) 6.5 8.0 4 8.5 5.5 4.0 9.0 a) Create the scatter diagram, similar to Figure 4.1 on page 112. b) Create a table similar to Table 4.2 on page 114 and determine the estimated linear regression equation. c) Calculate SST, SSE and SSR by using the formulas and shown on page 115 and create a table similar to Table 4.3. d) Calculate the coefficient of determination and the coefficient of correlation, by applying the formulas presented on page 116. e) Estimate the variance for the linear regression model you created, by applying the formulas presented on page 119. f) Calculate the value of the test statistic F, compare to the value of F associated with a 5% level of significance and determine if there is a statistically significant relationship between X and Y.