Choose a publicly-traded security for which you can find a series of historical values and 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 12/31/19 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 – Check for homoscedasticity and serial correlation – If necessary, rerun the regression using robust standard errors – Look for evidence of multicollinearity and eliminate redundant predictors if necessary