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 μylx1,x2 = Po +B1x1 + B2x2 y= 359 + (-1.18)x+(-0.164) ×2 (Round the constant to the nearest integer as needed. Round the x₁-coefficient to two decimal places as needed. Round the X2-coefficient to three decimal places as needed.) (b) Predict wear when oil viscosity is 20 and load is 1000. ŷ = ☐ (Round to three decimal places as needed.) Bearing Data y x1 X2 192 1.7 842 173 22.2 1070 112 33.1 1345 233 15.7 805 90 43.2 1209 121 39.8 1125
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 μylx1,x2 = Po +B1x1 + B2x2 y= 359 + (-1.18)x+(-0.164) ×2 (Round the constant to the nearest integer as needed. Round the x₁-coefficient to two decimal places as needed. Round the X2-coefficient to three decimal places as needed.) (b) Predict wear when oil viscosity is 20 and load is 1000. ŷ = ☐ (Round to three decimal places as needed.) Bearing Data y x1 X2 192 1.7 842 173 22.2 1070 112 33.1 1345 233 15.7 805 90 43.2 1209 121 39.8 1125
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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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 μylx1,x2 = Po +B1x1 + B2x2
y= 359 + (-1.18)x+(-0.164) ×2
(Round the constant to the nearest integer as needed. Round the x₁-coefficient to two decimal places as needed.
Round the X2-coefficient to three decimal places as needed.)
(b) Predict wear when oil viscosity is 20 and load is 1000.
ŷ = ☐
(Round to three decimal places as needed.)
Transcribed Image Text:Bearing Data
y
x1
X2
192
1.7
842
173
22.2
1070
112
33.1
1345
233
15.7
805
90
43.2
1209
121
39.8 1125
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