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     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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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
 
 
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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