An Introduction to Statistical Methods and Data Analysis
7th Edition
ISBN: 9781305269477
Author: R. Lyman Ott, Micheal T. Longnecker
Publisher: Cengage Learning
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Chapter 12.12, Problem 57SE
a.
To determine
Find the coefficient of determination for the regression model.
b.
To determine
Find the coefficient of determination for the regression model.
c.
To determine
Test the given hypothesis and interpret the result of this test.
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A 24-1 design has been used to investigate the effect of four factors on the resistivity of a silicon wafer. The data
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Table 4: Resistivity Experiment for Exercise 5
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A
B
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D
Resistivity
1
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2
3
4
5
6
7
8
9
10
11
12
I+I+I+I+Oooo
0
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||++TI++o000
33.2
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31.2
9.6
40.6
162.4
39.4
158.6
63.4
62.6
58.7
0
0
60.9
3
(a) Estimate the factor effects. Plot the effect estimates on a normal probability scale.
(b) Identify a tentative model for this process. Fit the model and test for curvature.
(c) Plot the residuals from the model in part (b) versus the predicted resistivity. Is there any indication on
this plot of model inadequacy?
(d) Construct a normal probability plot of the residuals. Is there any reason to doubt the validity of the
normality assumption?
Stem1: 1,4
Stem 2: 2,4,8
Stem3: 2,4
Stem4: 0,1,6,8
Stem5: 0,1,2,3,9
Stem 6: 2,2
What’s the Min,Q1, Med,Q3,Max?
Are the t-statistics here greater than 1.96? What do you conclude?
colgPA= 1.39+0.412 hsGPA
(.33) (0.094)
Find the P value
Chapter 12 Solutions
An Introduction to Statistical Methods and Data Analysis
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