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.
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Answer:
is there a pic or something, sorry i cant help at the time being
Explanation:
Answer:
It is important because it can promote the construction of relational algebra operators in a more complete, comprehensive and easy way.
Explanation:
The operators' ability to compose allows them to cooperate with each other's arguments, creating large, comprehensive concepts that address issues in a more detailed and consequently correct way. In this case, this interaction that the composition promotes, allows relational algebra operators to be created more easily.
Your missing word is Data model.