You conducted regression analysis on a stock and found a very weak relationship between the stock and the S&P 500 Index. This company has a great deal of international sales. You wondered if conducting multiple regression and including both the S&P 500 and the Baltic Dry Index (BDI) would improve the results. Below is a summary of the findings. This regression uses monthly return data. If the S&P 500 is expected to yield 1.52% next month and the BDI is expected to grow by 0.59%, then what is the expected return for your stock? Provide your answer in two decimal places and entered as a raw number not in decimal form (i.e. 13.21 not .1321). HINT: enter the returns above into the formula in decimal form and then turn the final answer into a percentage. Regression Stats R2 djusted R2 SE of Regression Intercept 500 0.9203 0.8470 0.8394 2.3471 Coefficients - 0043 1.01 1.52 Standard Error 0.2879 0.2641 0.1978 -Statistic .2794 2.31 10 12.432 p-value 0.0001 0.0000 5.678+28