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What are least-square fit and residual variance in sn enhancement, ensemble averaging and what do the numbers mean the residual value was very similar to

What are least-square fit and residual variance in sn enhancement, ensemble averaging and what do the numbers mean the residual value was very similar to each other for a different number of scan sets?

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The method of least squares is a standard approach in regression analysis to approximate the solution of overdetermined systems sets of equations in which there are more equations than unknowns by min... blur-text-image
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