15.3 #2An article gave the accompanying data on the dimensions (in cm) of 27 representative food products.ProductMaximum Width (cm)Minimum Width (cm)12.551.8022.902.7032.102.0042.902.6053.253.1562.001.8071.551.5084.803.8095.855.00105.804.75112.852.80122.452.10132.552.20142.602.60152.752.60163.102.90175.155.101810.2010.20193.453.50202.701.20213.051.70222.701.75232.451.70242.401.20254.451.20267.507.50274.204.25 (a) Fit the simple linear regression model that would allow prediction of the maximum width of a food container based on its minimum width. (Round your answers to three decimal places.) ŷ =____+ (____)x B) The data point with the largest residual is for a 1-liter bottle of a certain soft drink. Delete this data point and refit the regression. (Round your answers to three decimal places.) ŷ =____+(____)x

Name: 15.3 #2An article gave the accompanying data on the dimensions (in cm)
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Description: 15.3 #2An article gave the accompanying data on the dimensions (in cm) of 27 representative food products.ProductMaximum Width (cm)Minimum Width (cm)12.551.8022.902.7032.102.0042.902.6053.253.1562.001.8071.551.5084.803.8095.855.00105.804.75112.852.80

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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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15.3 #2

An article gave the accompanying data on the dimensions (in cm) of 27 representative food products.

Product	Maximum Width (cm)	Minimum Width (cm)
1	2.55	1.80
2	2.90	2.70
3	2.10	2.00
4	2.90	2.60
5	3.25	3.15
6	2.00	1.80
7	1.55	1.50
8	4.80	3.80
9	5.85	5.00
10	5.80	4.75
11	2.85	2.80
12	2.45	2.10
13	2.55	2.20
14	2.60	2.60
15	2.75	2.60
16	3.10	2.90
17	5.15	5.10
18	10.20	10.20
19	3.45	3.50
20	2.70	1.20
21	3.05	1.70
22	2.70	1.75
23	2.45	1.70
24	2.40	1.20
25	4.45	1.20
26	7.50	7.50
27	4.20	4.25

(a) Fit the simple linear regression model that would allow prediction of the maximum width of a food container based on its minimum width. (Round your answers to three decimal places.)

ŷ =____+ (____)x

B) The data point with the largest residual is for a 1-liter bottle of a certain soft drink. Delete this data point and refit the regression. (Round your answers to three decimal places.)

ŷ =____+(____)x

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