The table below lilsts the height h in em), the age a (in years), the gender g (D="Female", 1"Male"), and the weight w (in kg of some college students. Height Age Gender Weight 181 20 92 168 21 68 177 21 88 158 23 58 173 19 1. 85 We wish to fit a linear function of the form w = co +ch+Cya + C9 which predicts the weight from the rest of the data. Find the best approximation of this function, using least squares. w = u(h, a, 9) =O

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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The table below lists the height h (In em), the age a (In years), the gender g (0="Female", 1="Male"), and the welght w (in kg) of some college studenits
Height Age Gender Weight
181
20
92
168
21
68
177
21
88
158
23
58
173
19
1
85
We wish to fit a linear function of the form
w = co + cih + cza+ ©39
which predicts the welght from the rest of the data. Find the best approximation of this function, using least squares.
tw = w(h, a, 9) =
!3!
!!
Transcribed Image Text:The table below lists the height h (In em), the age a (In years), the gender g (0="Female", 1="Male"), and the welght w (in kg) of some college studenits Height Age Gender Weight 181 20 92 168 21 68 177 21 88 158 23 58 173 19 1 85 We wish to fit a linear function of the form w = co + cih + cza+ ©39 which predicts the welght from the rest of the data. Find the best approximation of this function, using least squares. tw = w(h, a, 9) = !3! !!
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