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
icon
Related questions
Question

Please Explain results. Thank you

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.
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.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 1 images

Blurred answer
Knowledge Booster
Types of Data and Their Measurement
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman