In the computer assignment, why do you deseasonalize the data and then add the seasonality back in? To determine the extent of the seasonality To measure the accuracy of our forecast We do not do that. That would be counterinitive To understand the impact of the trend alone To Borse out the outliers You are a forecaster and you know the last period of data was a drastic outlier, what two forecasting techniques would be the most appropriate? Simple Moving Average/ Weighted Moving Average Weighted Average/ Exponential Smoothing. Regression/Mean Average Deviation Exponential Smoothing/ Regression