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Statistics

WHAT CAUSES CRIME

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WHAT CAUSES CRIME

Can you write a 3 paged memo paper statistically discussing the causes of international immigragration using the attached memo excel sheet. I have attached the excel and also a sample memo to use as a guideline. You need to perfom all the requirement Using the different variables you will use for your analysis, provide three tables: The desсrіptive statistics. Include the following information for each variable: number of observations, arithmetic mean, median, standard deviation, the minimum, and the maximum. Make sure to put the information into a table (label row 1 “Variable”, row 2 “Observations,” etc). Regression analysis. Include the relevant parts of the regression: coefficients, p-values, R2, adjusted R2, significance F, and the number of observations. Correlation table. Your paper will need a correlation table of your independent variables to show there’s no multicollinearity. Include a correlation table in this and the final assignment. [unique_solution]The tables should be easy to read. Variable names should be brief (you’ll explain them in sufficient detail in the prose of the memo), commas should be used for large numbers, use no more than three decimal places, the table should be single spaced, etc. Below is a detailed instructions: By now, your question should have turned into an argument. Instead of asking “What causes crime?” you should be arguing “X causes crime.” This argument will the basis of your memo. Your memo will involve using panel data; it will not be a time series. That means that each observation will be a different state or country with measurements taken at (more or less) the same time. Be sure to: Discuss why your argument is worth making Explain why you think this causation exists Include desсrіptive statistic, as above Support your argument with a regression including implications (“my regression suggests that for every additional year of school, criminal activity falls by X”). Also include a table of the critical information from your regression. Remember to use logical rounding. For example, p values should be rounded to four decimal places. Discuss a weakness in your analysis. This can take one of two forms. If your key variable is statistically significant, identify and justify a potential confounding variable in your analysis. If your key variable is not statistically significant, discuss limitations to your argument that there is no connection between your independent and dependent variable, such as identifying and justifying a possible omitted variable bias.

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