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which predicts the weight from the rest of the data. Find the best approximation of this function, using least squares. w = w(h, a, g)

which predicts the weight from the rest of the data. Find the best approximation of this function, using least squares. w = w(h, a, g)

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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The table below lists the height h (in cm), the age a (in years), the gender g (0="Female", 1="Male"), and the weight w college students. We wish to fit a linear function of the form Height 168 179 155 164 173 w = w(h, a, g) Age Gender N N 09 21 21 22 22 22 18 0 1 0 0 1 Weight 60 87 47 56 81 w = co + c₁h + c₂a + c3g which predicts the weight from the rest of the data. Find the best approximation of this function, using least squares.
Transcribed Image Text:The table below lists the height h (in cm), the age a (in years), the gender g (0="Female", 1="Male"), and the weight w college students. We wish to fit a linear function of the form Height 168 179 155 164 173 w = w(h, a, g) Age Gender N N 09 21 21 22 22 22 18 0 1 0 0 1 Weight 60 87 47 56 81 w = co + c₁h + c₂a + c3g which predicts the weight from the rest of the data. Find the best approximation of this function, using least squares.
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