In wind tunnel tests for a new tall building in New York City the force, F, was measured exerted by the wind on a model of the new building at different known wind velocities, v. This data is tabulated on the right. Using the matrix formulation of Section 17.4.1, {Y}=[Z]{A}+{E}; {E}={Y}-[Z]{A}, conduct a polynomial regression of F on v as instructed below. F m (N) 10 25 • (a) Determine (but don't yet solve) the normal equations for a 2nd order polynomial (parabolic) regression of F on v. 20 70

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In wind tunnel tests for a new tall building in New York City the force, F, was measured exerted by
the wind on a model of the new building at different known wind velocities, v. This data is tabulated
on the right. Using the matrix formulation of Section 17.4.1, {Y}=[Z]{A}+{E}; {E}={Y}-[Z]{A},
conduct a polynomial regression of F on v as instructed below.
F
m
(N)
• (a) Determine (but don't yet solve) the normal eguations for a 2nd order polynomial
(parabolic) regression of F on v.
• (b) Solve the normal equations using Cholesky decomposition and Forward and Back
Substitution, since the coefficient matrix of the normal equations is symmetric.
• (c) Determine the equation of the regression curve in terms of v and F, the standard error of the
estimate, and the correlation coefficient.
• (d) Since the coefficient of the quadratic term seems small, investigate whether a straight
regression line might work: Modify the columns of the [Z] matrix and the elements of the {A}
vector such that the regression line becomes straight. Recompute the equation for the regression
line, the standard error of the estimate, and the correlation coefficient. Present your conclusions.
10
25
20
70
30
380
40
550
50
610
60
1220
70
830
80
1450
Transcribed Image Text:In wind tunnel tests for a new tall building in New York City the force, F, was measured exerted by the wind on a model of the new building at different known wind velocities, v. This data is tabulated on the right. Using the matrix formulation of Section 17.4.1, {Y}=[Z]{A}+{E}; {E}={Y}-[Z]{A}, conduct a polynomial regression of F on v as instructed below. F m (N) • (a) Determine (but don't yet solve) the normal eguations for a 2nd order polynomial (parabolic) regression of F on v. • (b) Solve the normal equations using Cholesky decomposition and Forward and Back Substitution, since the coefficient matrix of the normal equations is symmetric. • (c) Determine the equation of the regression curve in terms of v and F, the standard error of the estimate, and the correlation coefficient. • (d) Since the coefficient of the quadratic term seems small, investigate whether a straight regression line might work: Modify the columns of the [Z] matrix and the elements of the {A} vector such that the regression line becomes straight. Recompute the equation for the regression line, the standard error of the estimate, and the correlation coefficient. Present your conclusions. 10 25 20 70 30 380 40 550 50 610 60 1220 70 830 80 1450
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