Question

Which of the following is not true of the residual sum of squares?

	a.	It represents errors in prediction from the model
	b.	It reflects individual differences in experimental performance that can't be explained by systematically-manipulated factors
	c.	It reflects individual differences in experimental variance that can't be explained by systematically-manipulated factors
	d.	It represents the degree of systematic manipulation applied to experimental factors

Answer 1

answer:

the answer is ( option a ) ( It represents errors in prediction from the model )

the explanation is,

• In insights, the lingering entirety of squares (RSS), otherwise called the aggregate of squared residuals (SSR) or the whole of squared blunders of forecast (SSE), is the total of the squares of residuals (deviations anticipated from genuine observational estimations of information).
• It is a proportion of the disparity between the information and an estimation demonstrate.
• A little RSS shows a tight attack of the model to the information. It is utilized as an optimality standard in parameter choice and model determination.
• the By and large, all out whole of squares = clarified entirety of squares + lingering total of squares. For a proof of this in the multivariate standard least squares (OLS) case, see parceling in the general OLS demonstrate.