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Geoff Coolly Surveyed His Earned Value Table at the Conclusion

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Geoff coolly surveyed his earned value table at the conclusion of month 24.It was hard to believe that two short years ago,with his membership at Match.com about to expire,he had managed to craft an ad that was both urbane and manly enough as to catch the eye of the divine Miss Smylie.(The male model photo he substituted for his own certainly didn't hurt either. )Now he was almost done managing this critical project.Some might think him crass for taking such an approach,but he practiced what he preached at the small commuter school where he taught.Calculate all of the schedule and cost variances (costs in the table are in dollars)for this project and comment on Geoff's skills as a project manager.
Geoff coolly surveyed his earned value table at the conclusion of month 24.It was hard to believe that two short years ago,with his membership at Match.com about to expire,he had managed to craft an ad that was both urbane and manly enough as to catch the eye of the divine Miss Smylie.(The male model photo he substituted for his own certainly didn't hurt either. )Now he was almost done managing this critical project.Some might think him crass for taking such an approach,but he practiced what he preached at the small commuter school where he taught.Calculate all of the schedule and cost variances (costs in the table are in dollars)for this project and comment on Geoff's skills as a project manager.


Definitions:

Multiple Regression Analysis

A statistical technique that models the relationship between a dependent variable and two or more independent variables by fitting a linear equation to observed data.

Multicollinearity

A condition in regression analysis where two or more predictor variables are highly correlated, making it difficult to isolate the impact of each variable.

Significance

The degree to which a result from data collection or analysis indicates a meaningful pattern that can lead to a conclusion.

Critical F Value

A statistic used in the analysis of variance (ANOVA) tests, indicating the value beyond which data can be considered statistically significant.

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