Find two columns of data (you can use the same data as you used for the Correlation Project) and run a regression analysis on the data. Your project should include: 1. Two columns of data (minimum of 25 to 30 observations and a max of about 50). Exceptions can be made given the nature of the data (if data set is limited to a smaller number or if you run two different sets of data, etc.) 2. Also, you must graph (plot) the data. The plotting or graphing of data is referred to as the "visuals". 3. You must provide a statement of expectation of the type of relationship (direction and degree of strength) and a conceptual explanation of causality (why are data columns related and which variable causes movements in the other variable). 4. Upload your information in two files (one word file and an Excel or Google Sheets file