3. The following data come from a table that was measured with high precision. Use the bestnumerical method (for this type of problem) to determine y at x = 3.5. Note that apolynomial will yield an exact value. Your solution should prove that your result is exact.1.858.29.212Xy2616.4155.3753.52.0152.548

For this problem we use newton difference rule

Answered: 3. The following data come from a table…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Similar questions

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.971 b=21.794 r²-0.872356 r=-0.934 Use this to predict the number of situps a person who watches 5 hours of TV can do (to one decimal place)
I need the right answer to this problem.
i. Create a quadratic model: thergh j. What is the R2 value? What does this tell you about the relationship between x and y? k. Do a scatterplot of Y1 and the data. What does that tell you about the quadratic model? 1. Store the predictions in L3 and the Residuals in L4. m. Do a scatterplot of X-values vs Residuals. When doing this plot, first Deselect Y1. Sketch the plot here. What does this tell you about the quadratic model? n. Look at the Residual plot and use the Trace Key to find the 'largest' residual (it could be positive or negative.) Go back to your Stat Editor and find the corresponding x- value, y-value and predicted y-value.
I need help on #5
Jane collects data from 40 elementary school students and finds that the relationship between age (x) and score on a certain test (y) is given by y=3.2x+45. What can she extrapolate about the score a 16-year old will get on the test?
The following equation describes the relationship between output and labor input at a sample of work stations in a manufacturing plant ŷ = 2.35+2.20X. Suppose, for a selected workstation, the labor input is 5, the predicted output is?
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y = a x + b a = -1.043 b = 29.088 %3D %3! r2 = 0.390625 r = -0.625 Use this to predict the number of situps a person who watches 6.5 hours of TV can do. situps : %3D [one decimal accuracy1
Suppose you have four data points xo ... x4 as shown on the figure to the right. Note that the data are not evenly spaced. We desire f(x) to estimate the value of f(x*). 6. On the figure, DRAW what a polynomial regression of order zero would look like. Label the line as "A. 7. On the figure, DRAW what a polynomial regression of order one would look like. Label the line as "B." 8. In the space below, write the regression equation for the polynomial you would choose to estimate the value of f(x*). Leave all coefficients as unknowns. Then, DRAW how it should look on the figure. Label is as line "C." O Xo X1 x* O + x X2 X3

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