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Read your documentation on finding the least squares straight line fit to a set of data points, and then use your utility to find
the line of best fit to the data in Example 1. Do not imitate the method in the example; rather, use the command provided by
your utility.
T2. (Least Squares Polynomial Fit)
Read your documentation on fitting polynomials to a set of data points by least squares, and then use your utility to find the
polynomial fit to the data in Example 3. Do not imitate the method in the example; rather, use the command provided by your
utility.
Section 9.7
T1. (Quadric Surfaces)
Use your technology utility to perform the computations in Example 3.
Section 9.9
T1. ( -decomposition)
Technology utilities vary widely in how they handle - and -decompositions. For example, most programs perform
row interchanges to reduce roundoff error and hence produce a -decomposition, even when asked for an
-decomposition. Ready our documentation, and then see what happens when you use your utility to find an
-decomposition of the matrix A in Example 3.
Copyright © 2005 John Wiley & Sons, Inc. All rights reserved.
