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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 - X A study was performed on a type of bearing to find the relationship of amount of wear y to x₁ = oil viscosity and x2 = load. The accompanying data were obtained. Complete parts (a) and (b) below. Click the icon to view the bearing data. (a) The model y; = Po + ß1×1; +ß2×2; + ß12×1¡×2; +&;, 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. ŷ= 110 + (8.896) ×₁ + (0.115) ×₂ + ( − 0.01038)×1×2 (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). (×1,x2), (X2). (×1.×2.X1×2) and compute PRESS, Cp, and s² to determine the "best" model. Compute PRESS for each model. Model х1 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 - X A study was performed on a type of bearing to find the relationship of amount of wear y to x₁ = oil viscosity and x2 = load. The accompanying data were obtained. Complete parts (a) and (b) below. Click the icon to view the bearing data. (a) The model y; = Po + ß1×1; +ß2×2; + ß12×1¡×2; +&;, 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. ŷ= 110 + (8.896) ×₁ + (0.115) ×₂ + ( − 0.01038)×1×2 (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). (×1,x2), (X2). (×1.×2.X1×2) and compute PRESS, Cp, and s² to determine the "best" model. Compute PRESS for each model. Model х1 X1,X2 PRESS (Round to one decimal place as needed.) X1 X2 X1 X2

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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I need help with part b attached images and data. Please make sure to Round to one decimal place as​ needed.

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 - X
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 - X
A study was performed on a type of bearing to find the relationship of amount of wear y to x₁ = oil viscosity and x2 = load. The accompanying data were obtained. Complete parts (a) and (b) below. Click the icon to view the bearing data. (a) The model y; = Po + ß1×1; +ß2×2; + ß12×1¡×2; +&;, 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. ŷ= 110 + (8.896) ×₁ + (0.115) ×₂ + ( − 0.01038)×1×2 (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). (×1,x2), (X2). (×1.×2.X1×2) and compute PRESS, Cp, and s² to determine the "best" model. Compute PRESS for each model. Model х1 X1,X2 PRESS (Round to one decimal place as needed.) X1 X2 X1 X2
Transcribed Image Text:A study was performed on a type of bearing to find the relationship of amount of wear y to x₁ = oil viscosity and x2 = load. The accompanying data were obtained. Complete parts (a) and (b) below. Click the icon to view the bearing data. (a) The model y; = Po + ß1×1; +ß2×2; + ß12×1¡×2; +&;, 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. ŷ= 110 + (8.896) ×₁ + (0.115) ×₂ + ( − 0.01038)×1×2 (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). (×1,x2), (X2). (×1.×2.X1×2) and compute PRESS, Cp, and s² to determine the "best" model. Compute PRESS for each model. Model х1 X1,X2 PRESS (Round to one decimal place as needed.) X1 X2 X1 X2
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