Modern Business Statistics with Microsoft Excel (MindTap Course List)
5th Edition
ISBN: 9781285433301
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
Publisher: Cengage Learning
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Chapter 16.1, Problem 7E
a.
To determine
Develop a
Check whether the simple linear regression model appears to be appropriate or not.
b.
To determine
Find the estimated regression equation to predict the monthly mortgage on the median-priced home given the average asking rent by using simple linear regression model.
Construct a standardized residual plot.
Check whether the simple linear regression model appear to be appropriate or not.
c.
To determine
Find the estimated regression equation to predict the monthly mortgage on the median-priced home given the average asking rent by using the second-order model.
d.
To determine
Identify the estimated regression equation developed in part (a) or part (c) is prefer.
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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
23
2
3
4
5
6
7
8
9
10
11
12
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0
0
||++TI++o000
33.2
4.6
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 16 Solutions
Modern Business Statistics with Microsoft Excel (MindTap Course List)
Ch. 16.1 - Consider the following data for two variables, x...Ch. 16.1 - Consider the following data for two variables, x...Ch. 16.1 - Prob. 3ECh. 16.1 - A highway department is studying the relationship...Ch. 16.1 - In working further with the problem of exercise 4,...Ch. 16.1 - A study of emergency service facilities...Ch. 16.1 - Prob. 7ECh. 16.1 - Prob. 8ECh. 16.1 - Prob. 9ECh. 16.2 - In a regression analysis involving 27...
Ch. 16.2 - Prob. 11ECh. 16.2 - The Professional Golfers’ Association of America...Ch. 16.2 - Refer to exercise 12.
Develop an estimated...Ch. 16.2 - A 10-year study conducted by the American Heart...Ch. 16.2 - Prob. 15ECh. 16.5 - Prob. 19ECh. 16.5 - Prob. 20ECh. 16.5 - Prob. 21ECh. 16.5 - Prob. 22ECh. 16.5 - Prob. 23ECh. 16.5 - Prob. 24ECh. 16.5 - Prob. 25ECh. 16.6 - The following data show the daily closing prices...Ch. 16.6 - Refer to the Cravens data set in Table 16.5. In...Ch. 16 - A sample containing years to maturity and yield...Ch. 16 - Consumer Reports tested 19 different brands and...Ch. 16 - A study investigated the relationship between...Ch. 16 - Refer to the data in exercise 28. Consider a model...Ch. 16 - Refer to the data in exercise 28.
Develop an...Ch. 16 - Prob. 33SECh. 16 - The Ladies Professional Golf Association (LPGA)...Ch. 16 - Wine Spectator magazine contains articles and...
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