(a) The model y₁ = ẞ0 +ẞ1×1; +ẞ2×2; + B12x1,x2i+, for i = 1, 2, ..., 6 may be considered to describe the data. The X1X2 is an "interaction" term. Fit this model and estimate the parameters. y= 110 + (8.896) ×₁ + (0.115) x2 + ( − 0.01038)x1x2 (Round the constant to the nearest integer as needed. Round the x₁x2-coefficient to five decimal places as needed. Round all other coefficients to three decimal places as needed.) (b) Use the models (x1), (x1,x2), (x2), (x1,x2,X1×2) and compute PRESS, Cp, and s² to determine the "best" model. Compute PRESS for each model. Model X₁ x1,x2 PRESS (Round to one decimal place as needed.) X1, X2, X1 X2 Bearing Data y X1 x2 193 1.7 845 175 22.1 1055 112 32.9 1345 235 15.3 822 92 42.7 1199 120 40.1 1116

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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I need help with part b please I need final answers for press, cp, and s^2. Make sure to round to one decimal place

Bearing Data is also attached

(a) The model y₁ = ẞ0 +ẞ1×1; +ẞ2×2; + B12x1,x2i+, for i = 1, 2, ..., 6 may be considered to describe the data. The
X1X2 is an "interaction" term. Fit this model and estimate the parameters.
y= 110 + (8.896) ×₁ + (0.115) x2 + ( − 0.01038)x1x2
(Round the constant to the nearest integer as needed. Round the x₁x2-coefficient to five decimal places as needed.
Round all other coefficients to three decimal places as needed.)
(b) Use the models (x1), (x1,x2), (x2), (x1,x2,X1×2) and compute PRESS, Cp, and s² to determine the "best" model.
Compute PRESS for each model.
Model
X₁
x1,x2
PRESS
(Round to one decimal place as needed.)
X1, X2, X1 X2
Transcribed Image Text:(a) The model y₁ = ẞ0 +ẞ1×1; +ẞ2×2; + B12x1,x2i+, for i = 1, 2, ..., 6 may be considered to describe the data. The X1X2 is an "interaction" term. Fit this model and estimate the parameters. y= 110 + (8.896) ×₁ + (0.115) x2 + ( − 0.01038)x1x2 (Round the constant to the nearest integer as needed. Round the x₁x2-coefficient to five decimal places as needed. Round all other coefficients to three decimal places as needed.) (b) Use the models (x1), (x1,x2), (x2), (x1,x2,X1×2) and compute PRESS, Cp, and s² to determine the "best" model. Compute PRESS for each model. Model X₁ x1,x2 PRESS (Round to one decimal place as needed.) X1, X2, X1 X2
Bearing Data
y
X1
x2
193
1.7
845
175
22.1
1055
112
32.9
1345
235
15.3
822
92
42.7
1199
120
40.1
1116
Transcribed Image Text:Bearing Data y X1 x2 193 1.7 845 175 22.1 1055 112 32.9 1345 235 15.3 822 92 42.7 1199 120 40.1 1116
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