=E g. Apply exponential smoothing with trend to all seven years of data to forecast the number of applications in year 8. Use initial estimates of 3,900 for the average and 700 for the trend, along with smoothing constants of 0.5 and 0.5. When the underlying trend in the data stays the same, causal forecasting provides the best possible linear regression line (according to the method of least squares) for making forecasts. However, when changing conditions cause a shift in the underlying trend, what advantage does exponential smoothing with trend have over causal forecasting?