Question

In terms of developing a forecast based on a time series, when one encounters an omission or loss of
data, then the appropriate response would be to
th
A. Accept the forecast error
B. Do nothing..
C. Get the original data or substitute a reasonable estimate for the "lost" data.
D. Accept the change
E. Change the forecasting model​

Answer 1

Answer:

Time series forecasting is the use of a model to predict future values based on previously observed values. Time series are widely used for non-stationary data, like economic, weather, stock price, and retail sales in this post. We will demonstrate different approaches for forecasting retail sales time series.