3. Consider the accompanying data set of dependent and independent variables. a. Perform a general stepwise regression using a = 0.05 for the p-value to enter and to remove independent variables from the regression model. b. Perform a residual analysis for the model developed in part a to verify that the regression conditions are met. 2 Click the icon to view the data. a. use technology to perform the general stepwise regression. What is the resulting regression equation? Note that the coefficient is 0 for any variable that was removed or not significant. ŷ-[ (Round to two decimal places as needed.) b. Does a residual analysis show that the regression conditions are met? Select all that apply. A. Since the residual plot for x, shows a pattern, the regression conditions are not met. B. Since none of the residual plots show any pattern, the regression conditions are met. C. Since the residual plot for x, shows a pattern, the regression conditions are not met. D. Since the residual plot for x₂ shows a pattern, the regression conditions are not met. 2: Data Table y 63 43 51 49 40 42 23 37 30 27 20 X₁ 74 63 78 235 75 20 17 44 47 17 15 17 22 29 이히히히히히히히 20 17 13 17 8 15 10 10 7 X₂ 21 15 9 38 18 17 5 lalalala 40 27 30 33
3. Consider the accompanying data set of dependent and independent variables. a. Perform a general stepwise regression using a = 0.05 for the p-value to enter and to remove independent variables from the regression model. b. Perform a residual analysis for the model developed in part a to verify that the regression conditions are met. 2 Click the icon to view the data. a. use technology to perform the general stepwise regression. What is the resulting regression equation? Note that the coefficient is 0 for any variable that was removed or not significant. ŷ-[ (Round to two decimal places as needed.) b. Does a residual analysis show that the regression conditions are met? Select all that apply. A. Since the residual plot for x, shows a pattern, the regression conditions are not met. B. Since none of the residual plots show any pattern, the regression conditions are met. C. Since the residual plot for x, shows a pattern, the regression conditions are not met. D. Since the residual plot for x₂ shows a pattern, the regression conditions are not met. 2: Data Table y 63 43 51 49 40 42 23 37 30 27 20 X₁ 74 63 78 235 75 20 17 44 47 17 15 17 22 29 이히히히히히히히 20 17 13 17 8 15 10 10 7 X₂ 21 15 9 38 18 17 5 lalalala 40 27 30 33
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:3. Consider the accompanying data set of dependent and independent variables.
a. Perform a general stepwise regression using a = 0.05 for the p-value to enter and to remove independent variables from the regression
model.
b. Perform a residual analysis for the model developed in part a to verify that the regression conditions are met.
2 Click the icon to view the data.
a. Use technology to perform the general stepwise regression. What is the resulting regression equation? Note that the coefficient is 0 for
any variable that was removed or not significant.
ŷ=[
(Round to two decimal places as needed.)
b. Does a residual analysis show that the regression conditions are met? Select all that apply.
A. Since the residual plot for x, shows a pattern, the regression conditions are not met.
B. Since none of the residual plots show any pattern, the regression conditions are met.
C. Since the residual plot for x, shows a pattern, the regression conditions are not met.
D. Since the residual plot for x₂ shows a pattern, the regression conditions are not met.
2: Data Table
y
63
43
51
49
40
42
23
37
30
27
20
X₁
74
63
78
38538336
52
44
47
17
15
20
17
x₂
22
12 12:
29
20
17
13
17
8
15
10
10
7
X₂
21
15
9
38
18
17
5
40
27
30
33
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