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In forecasting a monthly time series over a five-year period from January 2006 to December 2010 , the exponential trend forecasting equation for January is
In forecasting a monthly time series over a five-year period from January 2006 to December 2010 , the exponential trend forecasting equation for January is shown be log(Yi)=1.9+0.03Xi+0.10( January ) Take the antilog of the appropriate coefficient from this equation and complete (a) through (c). a. Interpret the Y intercept, b^0. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to two decimal places as needed.) A. The Y intercept, b^0=, is the fitted value for January 2006 after adjustment with the January multiplier. B. The Y intercept, b^0=, is the fitted value for January 2006 prior to adjustment with the January multiplier. C. The Y intercept has no interpretation in this context. b. Interpret the monthly compound growth rate. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to two decimal places as needed.) A. The estimated growth rate of the dependent variable is \%, compounded monthly. B. The estimated growth rate of the independent variable is %, compounded monthly. C. The estimated growth rate can not be determined from the given information. c. Interpret the January multiplier. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to two decimal places as needed.) A. The January multiplier shows that the January values in the time series are estimated to have a mean % higher than the values from in all oth months. B. The January multiplier shows that the January values in the time series are estimated to have a mean % higher than the December values. C. The January multiplier shows that the January values in the time series are estimated to have a mean \% lower than the December values. D. The January multiplier can not be determined from the given information
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