The residuals are observations of the error variable. Consequently, the minimized sum of squared deviations is called the sum of squared error, labeled SSE. True False

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23 February, 09:06

The residuals are observations of the error variable. Consequently, the minimized sum of squared deviations is called the sum of squared error, labeled SSE. True False

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Cale Fitzpatrick · Answer 1

The statement in the question is True.

Explanation:

In statistics, the residual sum of squares (RSS), otherwise called the sum of squared residuals (SSR) or the total of squared estimate of errors (SSE), is the aggregate of the squares of residuals (deviations anticipated from real observational estimations of information). It is a proportion of the error between the information and an estimation model.

A little RSS demonstrates a tight attack of the model to the information. It is utilized as an optimality standard in parameter determination and model choice.