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Sidewall panels for the interior of an airplane are formed in a 1500-ton press. The unit manufacturing cost varies with the production lot size. The following data give the average cost per unit (in hundreds of dollars) for this product (y) and the production lot size (x). The scatter diagram indicates that a second-order polynomial may be appropriate. We will fit the model Y = BO+B₁x + B₁₁x² +e. y X per unit, y 1.90 1.80 1.70 1.60 1.50 1.40 1.30 1.20 1.10 1.00 1.81 20 • 1.70 1.65 25 30 20 30 40 1.55 35 1.48 40 50 60 60 70 80 90 Lot size, x 1.40 50 1.30 60 1.26 65 1.24 1.21 1.20 1.18 70 75 80 80 Refer to fitlm. From its output, determine the b0, b1, and b11. Do not simply enter the values but work with objects in MATLAB. You can also search How to get the p-value as an output of fitim on MATLAB Answers. Hint: pure quadratic

Sidewall panels for the interior of an airplane are formed in a 1500-ton press. The unit manufacturing cost varies with the production lot size. The following data give the average cost per unit (in hundreds of dollars) for this product (y) and the production lot size (x). The scatter diagram indicates that a second-order polynomial may be appropriate. We will fit the model Y = BO+B₁x + B₁₁x² +e. y X per unit, y 1.90 1.80 1.70 1.60 1.50 1.40 1.30 1.20 1.10 1.00 1.81 20 • 1.70 1.65 25 30 20 30 40 1.55 35 1.48 40 50 60 60 70 80 90 Lot size, x 1.40 50 1.30 60 1.26 65 1.24 1.21 1.20 1.18 70 75 80 80 Refer to fitlm. From its output, determine the b0, b1, and b11. Do not simply enter the values but work with objects in MATLAB. You can also search How to get the p-value as an output of fitim on MATLAB Answers. Hint: pure quadratic

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Polynomial Regression Model Sidewall panels for the interior of an airplane are formed in a 1500-ton press. The unit manufacturing cost varies with the production lot size. The following data give the average cost per unit (in hundreds of dollars) for this product (y) and the production lot size (x). The scatter diagram indicates that a second-order polynomial may be appropriate. We will fit the model Y = B₁ + B₁x +B₁₂₁x² +€. y X Average cost per unit, y 1.90 1.80 1.70 1.60 1.50 1.40 1.30 1.20 1.10 1.00 1.81 20 • 3 y= 4 20 30 40 Script> 1 % x and y 2 X= 1.70 1.65 1.55 1.48 25 30 35 40 8 % be 9 be= 50 60 Lot size, x 10 11 % b1 12 b1= 13 14 % b11 15 b11= 16 17 70 80 Refer to fitlm. From its output, determine the b0, b1, and b11. Do not simply enter the values but work with objects in MATLAB. You can also search How to get the p-value as an output of fitim on MATLAB Answers. Hint: pure quadratic 90 5% use fitlm 6 mdl=fitlm(x,y, 'purequadratic') 7 1.40 1.30 1.26 50 60 65 1.24 1.21 1.20 1.18 70 75 80 80 My Solutions > Save C Reset MATLAB Documentation ▶ Run Script ?
Transcribed Image Text:Polynomial Regression Model Sidewall panels for the interior of an airplane are formed in a 1500-ton press. The unit manufacturing cost varies with the production lot size. The following data give the average cost per unit (in hundreds of dollars) for this product (y) and the production lot size (x). The scatter diagram indicates that a second-order polynomial may be appropriate. We will fit the model Y = B₁ + B₁x +B₁₂₁x² +€. y X Average cost per unit, y 1.90 1.80 1.70 1.60 1.50 1.40 1.30 1.20 1.10 1.00 1.81 20 • 3 y= 4 20 30 40 Script> 1 % x and y 2 X= 1.70 1.65 1.55 1.48 25 30 35 40 8 % be 9 be= 50 60 Lot size, x 10 11 % b1 12 b1= 13 14 % b11 15 b11= 16 17 70 80 Refer to fitlm. From its output, determine the b0, b1, and b11. Do not simply enter the values but work with objects in MATLAB. You can also search How to get the p-value as an output of fitim on MATLAB Answers. Hint: pure quadratic 90 5% use fitlm 6 mdl=fitlm(x,y, 'purequadratic') 7 1.40 1.30 1.26 50 60 65 1.24 1.21 1.20 1.18 70 75 80 80 My Solutions > Save C Reset MATLAB Documentation ▶ Run Script ?
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