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It is computed by first finding the difference between the fitted nonlinear function and every Y point of data in the set. Then, each of those differences is squared.
Linear regression captures the relationship between two variables—for example, the relationship between the daily change in a company's stock prices and the daily change in trading volume.
What is the difference between linear chains and rings composed of the same material? The molecular building blocks are identical, but from a mathematical point of view the structures have ...
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