Consider the ANOVA table that follows.
| Analysis of Variance | ||||||||
| Source | DF | SS | MS | F | ||||
| Regression | 4 | 4,105.03 | 1,026.26 | 23.75 | ||||
| Residual Error | 49 | 2,117.05 | 43.21 | |||||
| Total | 53 | 6,222.08 | ||||||
a-1. Determine the standard error of estimate. (Round your answer to 2 decimal places.)
a-2. About 95% of the residuals will be between what two values? (Round your answers to 2 decimal places.)
b-1. Determine the coefficient of multiple determination. (Round your answer to 3 decimal places.)
b-2. Determine the percentage variation for the independent variables. (Round your answer to 1 decimal place.)
a1)standard error = sqrt(MSE)
= sqrt(43.21) = 6.57
a2)
0 +- 2 *SE
(-13.1469,13.1469)
b1)
R^2 = SS Regression / SS Total
= 4105.03 / 6222.08
= 0.6598
b2)
65.98 % of variation in y is explained by independ variables

adjusted R^2 = 1- (1- R^2)(n-1)/(n-k-1)
=
0.6320
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