7. This is the Excel ordinary least squares regression output where the returns on the US MSCI stock index are the dependent variable (Y variable) and the log change in the US$/euro FX rate are the independent variable (X variable). Regression Statistics Multiple R 0.292345 R Square 0.085466 Adjusted R Square 0.081401 Standard Error 0.040669 Observations 227 Intercept X Variable 1 Standard Coefficients Error t Star P-value 0.004614 0.002699 1.709411 0.088753 0.430138 0.093804 4.585502 7.52E-06 Which of the following is true? A. US stock returns have a negative and statistically significant relation with the exchange rate B. US stock returns have a positive relation with the exchange rate, but the relation is not statistically significant C. The Adjusted R-Square shows that the exchange rate explains most of the returns on US stocks D. The t-statistic for the X variable shows greater than 99% probability of a positive relation between US stock returns and the exchange rate E. None of the above 7. This is the Excel ordinary least squares regression output where the returns on the US MSCI stock index are the dependent variable (Y variable) and the log change in the US$/euro FX rate are the independent variable (X variable). Regression Statistics Multiple R 0.292345 R Square 0.085466 Adjusted R Square 0.081401 Standard Error 0.040669 Observations 227 Intercept X Variable 1 Standard Coefficients Error t Star P-value 0.004614 0.002699 1.709411 0.088753 0.430138 0.093804 4.585502 7.52E-06 Which of the following is true? A. US stock returns have a negative and statistically significant relation with the exchange rate B. US stock returns have a positive relation with the exchange rate, but the relation is not statistically significant C. The Adjusted R-Square shows that the exchange rate explains most of the returns on US stocks D. The t-statistic for the X variable shows greater than 99% probability of a positive relation between US stock returns and the exchange rate E. None of the above