Y2.91-2.3-3.2x -2.5 -1.4 0.2 3.0y-3.2 -2.3 2.9 1.0-2.5 -1.4X0.23Using this data, find the parameters a and b to fit a y = b eª curve usingthe least squares method.

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Answered: Y 2.9 -2.3 -3.2 -2.5 -1.4 0.2 3.0 y…

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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Use the method of least squares to fit the model to the data. Y hat= _+_x
The data points in ExerciseIn each of Exercises, we have presented two linear equations and a set of data points. For each exercise,a. plot the data points and the first linear equation on one graph and the data points and the second linear equation on another.b. construct tables for x, y,ŷ e, and e2 like Table (page 626).c. determine which line fits the set of data points better, according to the least-squares criterion.TABLEDetermining how well the data points in Table are fit by (a) Line A and (b) Line Ba. Line A: y= -1 + 2x x y ŷ e e2 1 3 1 2 4 2 1 3 -2 4 3 5 5 0 0 8 b. Line B: y= -1 + x x y ŷ e e2 1 3 2 1 1 2 1 3 -2 4 3 5 4 1 1 6 TABLE Three data points x y 1 3 2 1 3 5 Line A: y=3-0.6x, Line B: y=4-xData Points x 0 2 2 5 6 y 4 2 0 -2 1 ŷ =14-3x x 1 3 4 4 y 13 -1 3 5
I need the right answer to d, e, and f ASAP, please.
Find the least squares regression line for the points. (0, 4), (3, 2), (8, −3) y(x) = Use the regression capabilities of a graphing utility to verify your results. Use the graphing utility to plot the points and graph the regression line. (Select Update Graph to see your response plotted on the screen. Select the Submit button to grade your response.) Update Graph Student Response Graph 10 у H 1 2 3 4 5 6 7 5 Student Response Graph Description -5 8 9 X
Interpreting technology: A biologist computed a least-squares regression line for predicting the brain weight in grams of a bird from its body weight in grams. The results are presented in the following Excel output. Coefficients Intercept 3.68952298 Body Weight 0.07800925 Part: 0 / 2 Part 1 of 2 Write the equation of the least-squares regression line. Use the full accuracy shown in the Excel output (do not round your answers). Regression line equation: y = X
Four points have these coordinates: 3 4 4 4 3 y Use the least-squares line to predict the value of ywhen x= 3.5. اختر احدى الدجابات 0.6 O 5.5 О 35 3.4
Find the least-squares line y=Bo+B₂x that best fits the given data. Given: The data points (-2,2). (-1,5), (0.5), (1,4), (2,2). Suppose the errors in measuring the y-values of the last two data points are greater than for the other points. Weight these data points twice as much as the rest of the data. 1-2 1 -1 x= 1 1 1 2 PP 2 Next question y 5 CIT OA. y 7.1-0.73x OB. y 3.6-0.37x OC. y 3.3-0.53x OD. y 3.4-0.47x

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Y 2.9 -2.3 -3.2 -2.5 -1.4 0.2 3.0 y -3.2 -2.3 2.9 1.0 X -2.5 -1.4 X 0.2 3 Using this data, find the parameters a and b to fit a y = b eºz curve using the least squares method.