If you suspect that a nonlinear trend exists in your data, one way to deal with it in a trend-based forecasting application is to transform the independent variable, for example by squaring the time measure or maybe taking the square-root of the time measure.

Question

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Transforming the independent variable, such as by squaring or taking the square root of the time measure, can help linearize a nonlinear trend, making it easier to apply linear trend-based forecasting methods.

If You Suspect That a Nonlinear Trend Exists in Your