The file P03_63.xlsx contains 2009 data on R&D expenses and many financial variables for 85 U.S. publicly traded companies in the computer and electronic product manufacturing industry. The question is whether R&D expenses can be predicted from any combination of the potential variables. Use scatter plots, correlations (possibly on nonlinear transformations of variables) to search for promising relationships. Eventually, find a regression that seems to provide the best explanatory power for R&D expenses. Interpret this best equation and indicate how good a fit it provides.