Respuesta :
Answer:
The answer is "Option D"
Explanation:
The term moving average is known as a time series of information, which is widely used to reduce quick-term variations and demonstrate deep-term patterns or intervals. It is a type of matrices numerically, thus it could be considered as either an example of a tiny-pass filter for data processing, and correct options can be described as follows:
- In option A, It is used in a smooth series.
- In option B, In this process, all the values are used in the calculation are equal in weight.
- In option C, It is the simplest method, which is used in exponential smoothing.
In statistics moving average is a rolling average that is a calculation to analyze data. It creates a series of averages in different subsets. It is also called a moving mean.
- The moving average is used in time series and data can be shown for short-term fluctuations.
- It can also be used to highlight long-term trends It gives greater weight to more recent data.
Hence the option D is correct.
Learn more about the statements about moving averages is not true.
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