true or false
1)Accurate for casting can be done with inaccurate historical data. If the forecasting model is a good one, it will improve the input used.
2)If quantitative data is available on which to base a forecast, it is unnecessary to consider qualitative information.
3)In a good forecast, about half of the forecast misses should be randomly scattered above the actual results and half below the actual results.

For a forecasting model to be as accurate as possible, it needs to be based on accurate historical data as this would influence the model in such as way as to produce more accurate results.

Even when sufficient quantitative data is available, qualitative date is also needed because not everything can be explained by numbers.

A good forecast model brings out results such that half of them are above the actual results and half are below. That way the average will be more aligned with the actual results.