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Posts: 204
2 weeks ago
Mistakes. Describe the mistake made in the following analyses:
a. Ten teachers compute their average test scores for all their students. Then the superintendent collects their data and finds the school average. He repeats this process for eight different schools and finds a positive correlation between the age of the school average age of the teachers at a school and their average score.
b. The mayor of a city is concerned that the population of the city is growing faster than revenue. He calculates that over the last 5 years, the year and the size of the city have a R-sq of 95.7%. With such a high value, the mayor confidently predicts the population for the next three years of fiscal planning.
Textbook 

Stats: Modeling the World


Edition: 4th
Authors:
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Posts: 266
2 weeks ago
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a. In using data that has been averaged over so many variables, he is likely to cloud actual associations that are of interest.
b. The data is probably not linear and should be linearized before regression is done. Also, 3 future years is in danger of extrapolation.
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2 weeks ago
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