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62 - 4- - A example The for Triple A's and the of earned by in - NY has been Problem #2- | - Chapter 4- Regression Models – MODIFIED Triple A Construction Company example presented on pages 112- 122. updated in 2020, and shown below: X: Local Payroll ($100,000,000s) Y: Sales 6.5 (S000'00%$) 3. 8.0 4. 8.5 6.0 5.0 10.0 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 10% level of significance and determine if there is a statistically significant relationship between X and Y. Page 2 of 4

62 - 4- - A example The for Triple A's and the of earned by in - NY has been Problem #2- | - Chapter 4- Regression Models – MODIFIED Triple A Construction Company example presented on pages 112- 122. updated in 2020, and shown below: X: Local Payroll ($100,000,000s) Y: Sales 6.5 (S000'00%$) 3. 8.0 4. 8.5 6.0 5.0 10.0 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 10% level of significance and determine if there is a statistically significant relationship between X and Y. Page 2 of 4

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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62 - 4- - A example The for Triple A's and the of earned by in - NY has been Problem #2- | - Chapter 4- Regression Models – MODIFIED Triple A Construction Company example presented on pages 112- 122. updated in 2020, and shown below: X: Local Payroll ($100,000,000s) Y: Sales 6.5 (S000'00%$) 3. 8.0 4. 8.5 6.0 5.0 10.0 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 10% level of significance and determine if there is a statistically significant relationship between X and Y. Page 2 of 4
Transcribed Image Text:62 - 4- - A example The for Triple A's and the of earned by in - NY has been Problem #2- | - Chapter 4- Regression Models – MODIFIED Triple A Construction Company example presented on pages 112- 122. updated in 2020, and shown below: X: Local Payroll ($100,000,000s) Y: Sales 6.5 (S000'00%$) 3. 8.0 4. 8.5 6.0 5.0 10.0 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 10% level of significance and determine if there is a statistically significant relationship between X and Y. Page 2 of 4
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