You have obtained the following share prices from Yahoo Finance. Company 1 is listed on the London Stock Exchange. You want to estimate the beta value for Company 1. You run a regression of the share prices of Company 1 on FTSE100. You obtain the following regression output. Date 01/01/20X4 01/02/20X4 01/03/20X4 31/03/20X4 30/04/20X4 31/05/20X4 30/06/20X4 31/07/20X4 31/08/20X4 30/09/20X4 01/11/20X4 01/12/20X4 Company 1 332.01 353.35 355.89 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept X Variable 1 392.07 398.56 388.30 382.97 396.28 398.18 396.28 390.85 372.77 FTSE 100 6510.4 6809.7 6598.4 6780 6844.5 6743.9 6730.1 6819.8 6622.7 6546.5 6722.6 6566.1 0.428915804 0.183968767 0.102365644 20.58613595 df 12 1 10 11 Coefficients -154.5356553 0.079855173 SS MS 955.4038557 955.4038557 4237.889934 423.7889934 5193.293789 Standard Error F 2.254432915 t Stat P-value 355.9185124 0.434188304 0.673370302 0.053184416 1.501476911 0.164131251 Significance F 0.164131251 Required (a) Identify 5 measurement errors or issues from the above regression approach. (10 marks) (b) Explain how you may modify the regression to improve the accuracy of the estimated beta. (20 marks)