Question

Verify that $$ A^{\dagger}=\frac{1}{10}\left[\begin{array}{ccccc} -2 & -1 & 0 & 1 & 2 \\ 6 & 4 & 2 & 0 & -2 \end{array}\right] $$ is the pseudoinverse of the matrix $A$ in Example 7.5 .7 and show that $A^{\dagger} \mathbf{y}$ gives the parameters of the least squares line in that example.

   Verify that $$
A^{\dagger}=\frac{1}{10}\left[\begin{array}{ccccc}
-2 & -1 & 0 & 1 & 2 \\
6 & 4 & 2 & 0 & -2
\end{array}\right]
$$
is the pseudoinverse of the matrix $A$ in Example 7.5 .7 and show that $A^{\dagger} \mathbf{y}$ gives the parameters of the least squares line in that example.
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A Second Course in Linear Algebra
A Second Course in Linear Algebra
Stephan Ramon… 1st Edition
Chapter 15, Problem 17 ↓

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5.7. Assuming from the context, $A$ is typically a matrix formed from the input data points for a linear regression problem. In the least squares context, if we are fitting a line $y = mx + b$, and we have data points $(x_i, y_i)$, the matrix $A$ is usually formed  Show more…

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Verify that $$ A^{\dagger}=\frac{1}{10}\left[\begin{array}{ccccc} -2 & -1 & 0 & 1 & 2 \\ 6 & 4 & 2 & 0 & -2 \end{array}\right] $$ is the pseudoinverse of the matrix $A$ in Example 7.5 .7 and show that $A^{\dagger} \mathbf{y}$ gives the parameters of the least squares line in that example.
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