Topic: Statistics, Multiple Regression, Economic [url removed, login to view]: 1. PROJECT DESCRIPTION This is a case study involving a statistical analysis of some data set. The only substantive requirement is that your analysis should focus on multiple regression. This analysis should demonstrate a sound statistical knowledge of regression (including goodness of fit and significance tests of coefficients). The first page should contain an introduction which (i) motivates the problem, (ii) states all of the main assumptions [without mathematics], and (iii) briefly summarizes your findings. The main body of the report should contain a detailed development of your statistical analysis, including a mathematical formulation of both the problem studied and the analytical methods employed. Use plots and graphs wherever possible to illustrate your results (preferably in JMP). But be sure to back these up with appropriate discussion and analyses. [Do not include graphs or tables that are not discussed in the text.] All source material (including software packages used) should be cited explicitly. The last page should summarize your findings and conclusions in detail. Finally, be sure to include page numbers in your report. Please also include the following items: A JMP file of your data ( with columns labeled). This data should include all variables used in your analysis, and any transformed variables that appear in the regressions (so that I can easily repeat these regressions myself). If the variables in each column are not self explanatory, include a short description in the NOTES section of each column information window. A WORD file of your complete written project (including all tables and figures). There are no constraints on the subject of your case study. Although, I'd prefer it on the topic of economic inequality, you might use this as Y and ask what factors predict inequality (e.g., education levels, level of economic growth, percent of labor force in agriculture, etc.). You might start by looking through the set of projects that are included in the class webpage([url removed, login to view]~ese302/#project). (These projects are presented in their original form -- including possible errors. So don't assume that everything in them is correct.) You must clearly specify the source of your data. The final grade will be based on several factors: the appropriateness and sophistication of the analytical methods employed, the correctness of the analysis carried out, the logic and perceptiveness of the conclusions drawn, and the overall clarity of the presentation.