You can smooth a series using moving average if trend is not observed after plotting a time series data. True False

Answer: True

A moving average is a commonly used technique in time series analysis to smooth out fluctuations and noise in the data. When a trend is not observed in your plotted time series data, it may indicate that the data is too noisy or exhibits random variations. In this context, applying a moving average can help to eliminate short-term irregularities, allowing you to focus on longer-term trends or patterns in the data.

By calculating the average of a subset of data points over a defined period (e.g., 3-month, 6-month, or yearly moving averages), the resulting smoothed line can provide a clearer view of any underlying trend that might be obscured by the existing noise. Therefore, the statement that you can smooth a series using a moving average if the trend is not observed is indeed true.