Answer :
Smoothing Techniques is a technique for gathering data that uses standardized administration and assessment techniques.
Smoothing techniques can be used to minimize or eliminate the impact of random fluctuation when data that has been gathered over time does so. These strategies can be used to remove random fluctuation from time series data, revealing underlying trends.
Exponential, Moving Average, Double Exponential, and Holt-Winters are the four main smoothing methods offered by XLMiner. Moving average and exponential smoothing are both fairly straightforward methods, however they shouldn't be used on seasonal data sets. More sophisticated methods that can be applied to data sets with seasonality include double exponential and Holt-Winters.
Smoothing Techniques is a technique for gathering data that uses standardized administration and assessment techniques.
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