Answer :
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The norm of residuals is a degree of the goodness of healthy, in which a smaller price shows a better match than a bigger price. it's far calculated the usage of the norm function, norm(V,2), where V is the vector of residuals.
The residual for every observation is the distinction between predicted values of y (dependent variable) and discovered values of y. Residual=actual y value−expected y fee,ri=yi−^yi. In linear regression, a residual is a difference between the actual price and the price anticipated with the aid of the version (y-ŷ) for any given point.
Learn more about norms here; https://brainly.com/question/356987
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