A student 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) Estimate the unknown parameters of the multiple linear regression equation μy|x₁₁x2 Bo+B1x1 +ẞ2x2. (Round the constant to the nearest integer as needed. Round the x-coefficient to two decimal places as needed. Round the X2-coefficient to three decimal places as needed.) (b) Predict wear when oil viscosity is 25 and load is 1000. ŷ= ☐ y= (Round to three decimal places as needed.) Bearing Data y x1 X2 193 1.4 852 172 22.2 1055 115 32.8 1364 232 15.8 809 90 42.8 1205 127 39.9 1110
A student 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) Estimate the unknown parameters of the multiple linear regression equation μy|x₁₁x2 Bo+B1x1 +ẞ2x2. (Round the constant to the nearest integer as needed. Round the x-coefficient to two decimal places as needed. Round the X2-coefficient to three decimal places as needed.) (b) Predict wear when oil viscosity is 25 and load is 1000. ŷ= ☐ y= (Round to three decimal places as needed.) Bearing Data y x1 X2 193 1.4 852 172 22.2 1055 115 32.8 1364 232 15.8 809 90 42.8 1205 127 39.9 1110
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter3: Functions And Graphs
Section3.3: Lines
Problem 76E
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Please solve the attached question parts a and b and give final answers. Round as needed in each part as asked for in the attachment please
Transcribed Image Text:A student 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) Estimate the unknown parameters of the multiple linear regression equation μy|x₁₁x2 Bo+B1x1 +ẞ2x2.
(Round the constant to the nearest integer as needed. Round the x-coefficient to two decimal places as needed. Round the
X2-coefficient to three decimal places as needed.)
(b) Predict wear when oil viscosity is 25 and load is 1000.
ŷ= ☐
y=
(Round to three decimal places as needed.)
Transcribed Image Text:Bearing Data
y
x1
X2
193
1.4
852
172
22.2
1055
115
32.8
1364
232
15.8
809
90
42.8
1205
127
39.9
1110
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