How can cyclical components of a time series be identified?
A)Autocorrelation test.
B)Graphically.
C)Linear regression.
D)Cyclical effects cannot be detected.

Question

Quizplus · Accepted Answer

Cyclical components of a time series can often be identified graphically by looking for repetitive patterns or cycles in the data. This can be done by plotting the time series data over time and visually inspecting the chart for any patterns or cycles that repeat at regular intervals. Autocorrelation tests can also be helpful in identifying cyclical components, but they are not the best choice on their own. Linear regression is not an appropriate method for identifying cyclical components.

How Can Cyclical Components of a Time Series Be Identified