Which is NOT true of stationary time series data? a The process generating the d

Question

Which is NOT true of stationary time series data? a The process generating the data has a constant mean. b The time series plot is a straight line. c The variance is constant over time. d The statistical properties are constant over time e All statements in this list are true 12 Describe the time series above. a Linear trend b Seasonal with trend e Seasonal with nonlinear trend d Cyclical with trend e None of the above MSE, MAD, MAPE, and RMSE measure forecast accuracy by a determining how well a particular forecasting method is able to reproduce the time series data that are already available. b using the current value to estimate how well the model generates previous values correctly c predicting the future values and wait for a pre-defined time period to examine how accurate the predictions turned out d adjusting the data scale. 34 none of the descriptions in this list.

Explanation / Answer

32. B
Time series plot is not a straight line it may have ups and downs, but it should not have a trend like on an average it seems to increase or decrease.

33. B

Time series plot is seasonal as we see the values are repeating over time but on addition to that mean value increasing which indicate a presence of trend. That trend can be linear or non linear but for this case it seems to linear.

34 A

When checking accuracy we forecast values for some "t" time ahead assuming that we have data for that time, since we are building the model. We compare the prediction vs actual value, by calculating MSE, RMSE or MAPE etc

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