Let X be the design matrix in Example 2 corresponding to a least-squares fit of a parabola
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Let X be the design matrix in Example 2 corresponding to a least-squares fit of a parabola to data (x1; y1),.......,(xn,yn). Suppose x1, x2, and x3 are distinct. Explain why there is only one parabola that fits the data best, in a least-squares sense.
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EXAMPLE 2 If a machine learns the data from Example 1 by creating a least-squares line, what outcome will it predict for the inputs 4 and 6?
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In the context of leastsquares regression the design matrix denoted by X represents the matrix of input features used to fit a model to the given data ...View the full answer
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Related Book For
Linear Algebra And Its Applications
ISBN: 9781292351216
6th Global Edition
Authors: David Lay, Steven Lay, Judi McDonald
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