# Data Analysis Project 3 Due 05/09 until midnight

Data Analysis Project 3 Due 05/09 until midnight (please focus.)
For this project you will demonstrate competency in researching economics; that is, creatively designing a research question, locating pertinent and credible data to support an answer, and presenting results in a professional and articulate manner. Furthermore, you will also be applying fundamental statistical and regression concepts to your data sets to more quantitively answer your research questions. Follow these steps to complete the project:

1. Using the data covered in theNational Economy, Wealth Income and Poverty, Business Statistics, Labor Statistics, and Government, generatefiveresearch questions to study (one from each category). For this project use causal type phrasing (e.g. Higher taxes cause lower GDP, Increased worker productivity increases savings, etc.).

2.Excel File:
A. For three of the five research questions create anExcel sheetwith your data set, one graph and the statistical metrics listed below. Compile all the statistical metrics below and use a different type of graph for each question. All statistical metrics and graphs are to be calculated/generated in Excel using the functions reviewed in class.
Mean (weighted, arithmetic, or geometric)
Median
Sample Variance
Standard Deviation
Coefficient of Variation
Range
Percentiles
Quintiles
Skewness

B.SINGLE-VARIABLE REGRESSION:For one of the five research questions create anExcel sheetwith your data set, one scatterplot graph, and the analysis output. Furthermore:
Make sure n 30 (that is you should have at least 30 data points that correlate across time or space)
Add the R-squared and trendline to the scatterplot; use the functional form with the highest R-squared.
Use Excels Data Analysis TookPak regression function to run a single-variable regression and generate the Analysis Output.
C.MULTIPLE-VARIABLE REGRESSION:For one of the five research questions create anExcel sheetwith your data set and the analysis output.Furthermore:
Make sure n 30 (that is you should have at least 30 data points that correlate across time or space)
Use at least six independent variables. Remember, all your independent variables should be believed to influence the dependent variable.
Use Excels Data Analysis TookPak regression function to run a multiple-variable regression and generate the Analysis Output.

3.PowerPoint Presentation:For each research question (five total), create at least onePowerPoint slideillustrating the pertinent graphs, statistical metrics, regression results, bullet points (up to 3 and optional), andhyperlinksto your data source website (make sure the links work). The PowerPoint should also contain an introduction slide (e.g. name, project

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