2.An engineer at a semiconductor company wants to model the relationship between the device HFE (y) and three parameters: Emitter-RS (x1), Base-RS (x2), and Emitter-to- Base RS (x3). The data are shown in the following table. X1 X2 X3 X1 X2 X3 y 14.620 226.000 7.000 128.400 15.500 230.200 5.750 97.520
2.An engineer at a semiconductor company wants to model the relationship between the device HFE (y) and three parameters: Emitter-RS (x1), Base-RS (x2), and Emitter-to- Base RS (x3). The data are shown in the following table. X1 X2 X3 X1 X2 X3 y 14.620 226.000 7.000 128.400 15.500 230.200 5.750 97.520
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:2.An engineer at a semiconductor company wants to model the relationship between the
device HFE (y) and three parameters: Emitter-RS (x1), Base-RS (x2), and Emitter-to-
Base RS (x3). The data are shown in the following table.
X1
X2
X3
X1
X2
X3
y
14.620
226.000
7.000
128.400
15.500
230.200
5.750
97.520
15.630
220.000
3.375
52.620
16.120
226.500
3.750
59.060
14.620
217.400
6.375
113.900
15.130
226.600
6.125
111.800
15.000
220.000
6.000
98.010
15.630
225.600
5.375
89.090
14.500
226.500
7.625
139.900
15.380
229.700
5.875
101.000
15.250
224.100
6.000
102.600
14.380
234.000
8.875
171.900
16.120
220.500
3.375
48.140
15.500
230.000
4.000
66.800
15.130
223.500
6.125
109.600
14.250
224.300
8.000
157.100
15.500
217.600
5.000
82.680
14.500
240.500
10.870
208.400
15.130
228.500
6.625 112.600
14.620
223.700
7.375
133.400
(a) Fit a multiple linear regression model to the data.
(b) Predict HFE (y) when x1 =14.5, x2 = 220, and x3 = 5.0.
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