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The Following Regression Model Was Estimated to Forecast the Value μ\mu

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The following regression model was estimated to forecast the value of the Indian rupee (INR) : INRt = a0 + a1INTt + a2INFt - 1 + μ\mu t,
Where INR is the quarterly change in the rupee, INT is the real interest rate differential in period t between the U.S. and India, and INF is the inflation rate differential between the U.S. and India in the previous period. Regression results indicate coefficients of a0 = .003; a1 = -.5; and a2 = .8. Assume that INFt - 1 = 2%. However, the interest rate differential is not known at the beginning of period t and must be estimated. You have developed the following probability distribution:
 The following regression model was estimated to forecast the value of the Indian rupee (INR) : INR<sub>t</sub> = a<sub>0</sub> + a<sub>1</sub>INT<sub>t</sub> + a<sub>2</sub>INF<sub>t</sub><sub> </sub> <sub>-</sub> <sub> 1</sub> +  \mu <sub>t</sub>, Where INR is the quarterly change in the rupee, INT is the real interest rate differential in period t between the U.S. and India, and INF is the inflation rate differential between the U.S. and India in the previous period. Regression results indicate coefficients of a<sub>0</sub> = .003; a<sub>1</sub> = -.5; and a<sub>2</sub> = .8. Assume that INF<sub>t </sub> <sub>-</sub> <sub> 1</sub> = 2%. However, the interest rate differential is not known at the beginning of period t and must be estimated. You have developed the following probability distribution:   The expected change in the Indian rupee in period t is: A)  3.40%. B)  0.40%. C)  3.10%. D)  1.70%. E)  none of the above The expected change in the Indian rupee in period t is:


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