This assignment analyzes rental data from Ann Arbor apartments, focusing on statistical analysis and econometrics. The student begins by performing descriptive statistics, including frequency distributions, pie charts, histograms, and summary statistics for variables such as rent, number of bedrooms, square footage, and safety ratings. The analysis then proceeds to correlation analysis, exploring the relationship between rent and safety. Hypothesis testing is employed to investigate claims about rent differences based on safety ratings, apartment size, and garage availability, using t-tests and ANOVA. Finally, regression analysis is used to determine the impact of square footage on rent, including the interpretation of regression coefficients, confidence intervals, and hypothesis testing to validate claims about the effect of apartment size on rental prices. The student also explores different functional forms for regression models, comparing linear, log-linear, and log-log specifications.
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