Question: possible for each part):

1. What variables are used in this analysis? Are these appropriate for the statistical models and procedures that were used? Explain your answer using information reported in the article and your knowledge of statistics.
2. What additional evidence would you need, to be able to determine whether the measurements employed are appropriate for the statistical analysis that was conducted? What would you need to know about the measurements or data that you are not shown in the article?
3. Which of the findings do you think are most convincing? Explain why, making use of the reported numerical results and interpretations. What difficulties might be created by the use of lots of regression models?
4. What changes would you suggest to improve the models? What consequences could those changes have for your ability to interpret the results from the revised models?
5. Based on the statistical evidence presented in the article, do you agree with the authors’ conclusion? Support your interpretation, using specific results from the article and considering anything that you believe may have been omitted from the statistical analysis.

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