Which statistical method will call for the largest number of different inputs (variables) in order to generate
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Question:
Which statistical method will call for the largest number of different inputs (variables) in order to generate a forecast?
A. Exponential smoothing
B. Multiple regression seeking causality
C. Trend- and seasonality-adjusted time series
D. Moving averages
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