For the forecasting process to be effective internal data should be ?

In the forecasts/analytics implementation chapter a nine -step process was discussed which did not include which of the following?

Which of the following models are not generally the best to use when generating short-term forecast?

With respect to forecast presentation the author suggested ?

Because the best software cannot automatically take into account the specific industry, marketing and economic knowledge that a business professional may have ?

Forecasting and analytics models vary with respect to complexity one of the most complex according to the authors was?

The main purpose of combing forecast is to reduce?

The methodology of combining forecasting is best described as?

When using multiple regression to select the optimal weights for use in this compositive forecast process one can test whether forecast model 2 adds any explanatory power to what is already present in forecast model using which distribution ?

----------is/are unstructed not arranged in a next columns and rows with only numbers populating the various location?

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