Consider the following table:
Source | SS | DF | MS | Test Statistic |
---|---|---|---|---|
Regression | ?? | 3 | 2.29 | |
Error | 4766.5 | |||
Total | 8040.34 | 13 |
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Step 1 of 9:
Calculate the Sum of Squared Regression. Round your answer to two decimal places, if necessary.
Consider the following table:
Source | SS | DF | MS | Test Statistic |
---|---|---|---|---|
Regression | 3 | 2.29 | ||
Error | 4766.5 | ?? | ||
Total | 8040.34 | 13 |
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Step 2 of 9:
Calculate the Degrees of Freedom among Error.
Consider the following table:
Source | SS | DF | MS | Test Statistic |
---|---|---|---|---|
Regression | 3 | ?? | 2.29 | |
Error | 4766.5 | |||
Total | 8040.34 | 13 |
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Step 3 of 9:
Calculate the Mean Squared Regression. Round your answer to two decimal places, if necessary.
Source | SS | DF | MS | Test Statistic |
---|---|---|---|---|
Regression | 3 | 2.29 | ||
Error | 4766.5 | ?? | ||
Total | 8040.34 | 13 |
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Step 4 of 9:
Calculate the Mean Squared Error. Round your answer to two decimal places, if necessary.
Step 5 of 9:
How much of the variation in the dependent variable is explained by the regression? Round your answer to two decimal places, if necessary.
Step 6 of 9:
What proportion of the variation is explained by the regression? Round your answer to two decimal places, if necessary.
Step 7 of 9:
What is the estimated variance of the error terms? Round your answer to two decimal places, if necessary.
Step 8 of 9:
What is the total variability of the dependent variable? Round your answer to two decimal places, if necessary
Step 9 of 9:
What is the variance of the dependent variable? Round your answer to two decimal places, if necessary.
Step - 1: Sum of squared regression = 8040.34 - 4766.5 = 3273.84
Step - 2: Degrees of freedom error = 13 - 3 = 10
Step - 3: Mean squared regression = 3273.84/3 = 1091.28
Step - 4: Mean squared error = 4766.5/10 = 476.65
Step - 5: Variation in the dependent variable is explained by the regression = Sum of squared regression = 3273.84
Step - 6: Proportion of the variation is explained by the regression = SSR/SST = 3273.84/8040.34 = 0.41
Step - 7: Estimated variance of error terms = MSE = 476.65
Step - 8: Total variability of dependent variable = SS Total = 8040.34
Step - 9: Variance of the dependent variable = SST / df(Total) = 8040.34/13 = 618.49
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