Choose a publicly traded security for which you can find a series of historical values. Make a conjecture about related data (at least two data series), that might be used as predictors for this series of values. Find online data sources to get current data for both the predictors and the values of the security (up to 12/31/20 or more recent, if possible) Download this data and copy it into Excel, Create graphs of the data . Use Excel to conduct a regression of the values of the security against the predictors and verify the validity of underlying assumptions eliminate outliers if necessary, check for homoscedasticity and serial correlation, look for evidence of multicollinearity and eliminate redundant predictors if necessary . Submit written report & Excel spreadsheet, Report can be .doc or .pdf. Document regression inputs with text comments, Report should clearly state the conjecture being investigated, clearly describe the data sources used & data handling, include links to data if possible. Clearly describe the analysis performed and clearly state the conclusions you have drawn from this analysis |

# Choose a publicly traded security for which you can find a series of historical values.

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Choose a publicly traded security for which you can find a series of historical values.

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