Estimate a multiple linear regression relationship with the U.K. stock returns as the dependent variable, and U.K. Government Bond yield (Interest rate), U.S. Stock Returns, and Japan Stock Returns as the independent variables using the monthly data covering the sample period 1980-2019 (Finding the determinants of U.K. stock returns).

a. Show the estimated regression relationship

b. Conduct a test for the overall significance of the regression equation at the 1% level of significance. (Test for the significance of the regression relationship as a whole)

c. Conduct a t-test for statistical significance of the individual slope coefficients at the 1% level of significance. Provide the interpretation of the significant slope estimates.

d. Present the R-Square (Coefficient of Determination) and its interpretation.

SUMMARY OUTPUT Regression Statistics Multiple R R Square 0.053983769 0.002914247 Adjusted R Square -0.003383136 Standard Error Observations ANOVA 3.420816499 479 df SS MS F Significance F Regression 3 16.24602293 5.415340978 0.462771123 0.708409617 Residual Total 475 5558.443121 11.70198552 478 5574.689144 Coefficients Standard Error Intercept RSUK RSUS RSJA 6.331234648 0.038878825 -0.016233734 0.007596569 0.160760166 Lower 95% Upper 95% 6.647123675 Lower 99.0% Upper 99.0% 5.915473621 6.746995675 t Stat P-value 39.38310602 1.0174E-151 6.015345621 0.04443864 0.874887829 0.382077094 -0.048441804 0.126199454 -0.076049239 0.050614292 -0.320734191 0.748552891 -0.115689339 0.083221871 -0.147133389 0.114665921 0.030298359 0.250725409 0.80213483 -0.051938822 0.067131959 -0.07076163 0.085954767 0.153806889