Find least square method from time series
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Least Square is the method for finding the best fit of a set of data points.
Step-by-step explanation:
Least Square is the method for finding the best fit of a set of data points. It minimizes the sum of the residuals of points from the plotted curve. It gives the trend line of best fit to a time series data. This method is most widely used in time series analysis.
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