The least squares criterion is _____. a. min ∑(yi – i)2 b. min ∑(yi – i) c. min ∑(yi – i)2 d. min ∑(xi – yi)2
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The least squares method is used to minimize the sum of the squares of the differences between observed values (yi) and the values predicted by a model (i). Show more…
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