Exercise 4
A study was performed on the wear of a bearing
y
and its relationship to
x
1
= oil viscosity and
x
2
= load.
The following data was obtained:
uniF079
uniF07BuniF0A1uniF07D
uniF078uniF030
uniF07BuniF0A1uniF07D
uniF078uniF031
uniF07BuniF0A1uniF07D
uniF078uniF032
uniF07BuniF0A1uniF07D
293
1
1.6
851
230
1
15.5
816
172
1
22
1058
91
1
43
1201
113
1
33
1357
125
1
40
1115
Use the Multiple Linear Regression output from Excel (below) to answer the following questions.
n
:= 6
y_
:= mean
y
=
512
3
x1_
:= mean
x1
=
517
20
x2_
:= mean
x2
=
3199
3
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(a) Fit a multiple linear regression model to this data (using the Excel output).
Output from TI-89 Titanium MultReg function:
β
0
:= 383.8
β
1
:= -3.638
β
2
:= -0.117
y
:=
β
0
+
β
1
⋅
x
1
+
β
2
⋅
x
2
=
-3.638
⋅
x
1
- .117
⋅
x
2
+ 383.8
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- Spring '07
- JosephGeunes
- Statistics, Linear Regression, Regression Analysis, multiple linear regression
-
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