Math, asked by Vish4707, 1 year ago

Explain the principle of least squares in regression analysis

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Answered by arjun7774
0

The least squares principle states that the SRF should be constructed (with the constant and slope values) so that the sum of the squared distance between the observed values of your dependent variable and the values estimated from your SRF is minimized (the smallest possible value).

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