The Management department has data on the demand for each course over the last 10 semesters. From the data, it is clear that certain courses have more enrollments in the spring than in the fall. When constructing a time-series forecast to predict future enrollments, the FIRST step should be Multiple Choice determine the smoothing constant a compute the seasonality index for spring and fall semesters survey the professors to obtain a combination forecast compute the Mean Squared Error (MSE)