Data Analysis Report

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The final report should have four parts:
1. Introduction: A discussion of what questions you are interested in and your motivation for this research.
2. Data Set: Describe details about the variables in the data set and your data source.
3. Analysis: Describe how you used multiple regression to analyze the data set and discuss your inferences based on your final model. Specifically, you should discuss how you carried out the steps in analysis discussed in class, i.e., exploration of data to find an initial reasonable model, checking the model, and development and analysis of your final model,
4. Conclusion: Provide brief conclusions about the results of your study.
See the attachment for detail.
Please use the data link in the project proposal attched to finsh the analysis(using SPSS)
Please read the two files attached carefully.
You can put the output in the report.

Statistic method project proposal: Date to analyze: Archery at 2008 olympic Data link: https://dasl.datadescription.com/datafile/archery/?_sfm_cases=40+500 (use the link above to access data) Data description: In Olympic Archery both men and women start with a field of 64 qualifiers. Each archer shoots a round of 72 arrows (total possible score: 720) to establish a seeding position. Then they participate in a single-elimination contest. Thus, the seeding round is the only one that provides data for all archers (because some are eliminated at each step of the elimination rounds). The data are the seeding round data for the 2008 Olympics. The SPSS software analysis should consist model summary, Anova, coefficients, etc. An example output screenshot is shown below.

Students are required to complete a project related to the course objectives. Each group can have 2-3 members. The project will be developing a real-world problem using a real data set of interest to you. The deliverables of the project include project draft and a final report.