NOTE: 200 OBSERVATIONS-OBS (COMPANIES) OF FINANCIAL DATA, VARIABLES: MARKET CAPITALIZATION , TOTAL DEBT, LONG-TERM DEBT,SHORT-TERM DEBT, TOTAL ASSETS, EBIT, FIXED ASSET, CURRENT ASSETS, CURRENT LIABILITIES. 3. Kindly ensure by now each group to have a complete dataset of 190 OBS after the deletion process. Required: 1. Perform a descriptive analysis in R, using the variables given in #6 above. 2. Design a structure to show the training data, testing data, and discuss the validation process using your dataset. 3. Perform a regression analysis, show the clearly and discuss on the predictive power using the forecast figures and coefficients. 4. You may include scatter plots to address the significance of the predictors, OR extend your analysis by using other statistical tools that you have learned. 5. Conclude your findings and highlight the main takeaways from your analysis. NOTE: 200 OBSERVATIONS-OBS (COMPANIES) OF FINANCIAL DATA, VARIABLES: MARKET CAPITALIZATION , TOTAL DEBT, LONG-TERM DEBT,SHORT-TERM DEBT, TOTAL ASSETS, EBIT, FIXED ASSET, CURRENT ASSETS, CURRENT LIABILITIES. 3. Kindly ensure by now each group to have a complete dataset of 190 OBS after the deletion process. Required: 1. Perform a descriptive analysis in R, using the variables given in #6 above. 2. Design a structure to show the training data, testing data, and discuss the validation process using your dataset. 3. Perform a regression analysis, show the clearly and discuss on the predictive power using the forecast figures and coefficients. 4. You may include scatter plots to address the significance of the predictors, OR extend your analysis by using other statistical tools that you have learned. 5. Conclude your findings and highlight the main takeaways from your analysis