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(Solved): In a regression analysis involving 30 observations, the following estimated regression equation was ...




In a regression analysis involving 30 observations, the following estimated regression equation was obtained.
? = 17.6 +3.821
c. Compute SSE (X2, 23).
(to 1 decimal, if necessary)
d. Use an F test and a = 0.05 to determine whether #1 and 4 contribute
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ? = 17.6 +3.821 -2.3x2 + 7.6x3 +2.7x4 For this estimated regression equation SST = 1805 and SSR = 1772. a. At a = 0.05, test the significance of the relashionship among the variables. (to 1 decimal, if necessary) SSE (to 1 decimal, if necessary) MSR MSE (to 2 decimals, if necessary) What is the value of the F test statistic (to 2 decimals)? Use Table 4 in Appendix B. What is the p-value? - Select your answer - Using a = 0.05, what is your conclusion? - Select your answer - Suppose variables 1 and 4 are dropped from the model and the following estimated regression equation is obtained. ?= 11.1-3.6x2 +8.103 For this model SST 1805 and SSR = 1,705, b. Compute SSE(#1, #2, #3, #4). (to 1 decimal, if necessary) c. Compute SSE (X2, 23). (to 1 decimal, if necessary) d. Use an F test and a = 0.05 to determine whether #1 and 4 contribute significantly to the model. What is the value of the F test statistic (to 2 decimals)? Use Table 4 in Appendix B. What is the p-value? - Select your answer - What is your conclusion about the two variables #1 and 4? - Select your answer - ?


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Solution: (a) SSE = (SST - SSR) = (1805 - 1752) = 53 dfRegression = k = 4 dfError = n - k - 1 = 30 - 4 - 1 = 25 MSE = SSE/dfError = 53/25 = 2.12 MSR = SSR/dfRegression = 1752/4 = 4
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