Modeling the trend in a time series of a variable that grows at a constant rate with continuous compounding is best done with: A. a moving average model. B. simple linear regression. C. a log-linear transformation of the time series.
The log-linear transformation of a series that grows at a constant rate with continuous compounding (exponential growth) will cause the transformed series to be linear.
