Explain when linear models are apt to give the wrong answers when used in forecasting. 2. The following data describes coal consumption in the U.S. from 1968 to 2006. What can you glean from this data and what questions would you want to ask before building a model to explain the pattern of data? (Growth Rates: Mean = 1.9%, Standard Deviation = 3.2%)