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Linear algebra and geometry

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Let be the Hilbert matrix of order . Starting from , execute iterations of the QR method. The element is approximately

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Let the Hilbert matrix of order be given. Then, the conditioning number for the computation of its eigenvalues is

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The angular coefficient of the straight line that approximates in the least square sense the following set of points:

x=[0.2 1.14 0.54 0.87 1.25 2.36 0.19 0.54 0.51 0.33]

y=[1.25 2.36 2.58 1.87 2.68 3.41 0.65 0.47 1.36 1.25 ]

is:

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Suppose you have performed the following measurements:

in   ;

in   ;

in   ;

in   .

Determine the coefficients of the order 1 exponential sum that best approximates the data in the least square sense and the norm of the corresponding residual. Those values are approximately

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Suppose that the following measurements have been performed:

in   ;

in   ;

in   .

Which are the values of the coefficients and of the regression line ?

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Consider . Build the polynomial of degree that approximates in the least square sense on linearly spaced nodes in the interval , extrema included. The value of is, approximately
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Consider linearly spaced nodes , , between e , extrema included.

Approximate the function with a parabola in the least square sense applied to the data

, . Which is the coefficient of the maximum degree term of the parabola?

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Let the points be given. Suppose to have built the regression line and the regression parabola. If we want to compare the two models in order to decide which one is preferable, which of the following codes is needed?
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Build the parabola that approximates in the least squares the set of points with coordinates

x=[-2 -1.3 -1 -0.7 -0.4 -0.1]

y=[0.3 0.5 1.5 1.3 0.8 0.1]

Which is the value of

, approximately?

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Consider the following information regarding the speed of a body as a function of time:

Time(s): [0, 8, 18]

Speed(m/s): [44, 43, 67]

Approximating the data by a least square line, what is the velocity of the body after 2 seconds?
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