LOS i, (Part 1): Describe the use of analysis of variance (ANOVA) in regression analysis. 1.nsider the following analysis of variance (ANOVA) table: Source | Sum of squares | Degrees of freedom | Mean square | Regression | 500 | 1 | 500 | Error | 750 | 50 | 15 | Total | 1,250 | 51 |
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The R2 and the F-statistic are, respectively: A) R2 = 0.40 and F = 33.333. B) R2 = 0.67 and F = 0.971. C) R2 = 0.40 and F = 0.971. D) R2 = 0.67 and F = 33.333.
The correct answer was A) R2 = 500 / 1,250 = 0.40. The F-statistic is 500 / 15 = 33.33.
2.nsider the following analysis of variance (ANOVA) table: Source | Sum of squares | Degrees of freedom | Mean square | Regression | 200 | 1 | 200 | Error | 400 | 40 | 10 | Total | 600 | 41 |
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The R2 and the F-statistic are, respectively: A) R2 = 50% and F = 2.0. B) R2 = 33% and F = 20.0. C) R2 = 50% and F = 0.952. D) R2 = 33% and F = 2.0.
The correct answer was B) R2 = 200 / 600 = 0.333. The F-statistic is 200 / 10 = 20. |