Suppose we want to generate a "parabola of best fit" (via least squares) for the points, P₁ = (2,0), p2 = (0, 3), p3 = (1,-2), and p₁ = (-5,1). Fill in the blanks "" below to setup the normal equations: We are fitting a parabola of the form = Bo+x+0.0, by taking the vector y = 1000 and solving for the normal equations, 3= 0 = (0².0).0°.y where A is the matrix given by, A= (this one square is to be filled with an entire matrix).

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Linear Algebra:
Suppose we want to generate a "parabola of best fit" (via least squares) for the points,
P₁ = (2,0), p2 = (0, 3), p3 = (1, -2), and p₁ = (-5, 1).
Fill in the blanks "" below to setup the normal equations:
We are fitting a parabola of the form ŷ = ßo +·x+·, by taking the vector
y =
1000
and solving for the normal equations,
3= 0 = (0².0).0².y
where A is the matrix given by, A = (this one square is to be filled with an entire
matrix).
Transcribed Image Text:Suppose we want to generate a "parabola of best fit" (via least squares) for the points, P₁ = (2,0), p2 = (0, 3), p3 = (1, -2), and p₁ = (-5, 1). Fill in the blanks "" below to setup the normal equations: We are fitting a parabola of the form ŷ = ßo +·x+·, by taking the vector y = 1000 and solving for the normal equations, 3= 0 = (0².0).0².y where A is the matrix given by, A = (this one square is to be filled with an entire matrix).
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