. Look at the plots below. Provide detailed substantive interpretation of the relation among X, Y and Z. Interpret statistical significance of the results. Is the marginal effect of X statistically significant? Is the marginal effect of Y statistically significant?
. Look at the plots below. Provide detailed substantive interpretation of the relation among X, Y and Z. Interpret statistical significance of the results. Is the marginal effect of X statistically significant? Is the marginal effect of Y statistically significant?
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
Please see the files attached for the question for which I need an answer.
![100%
10
5
Problem 1: Warm up
a. Look at the plots below. Provide detailed substantive interpretation of the relation among X, Y and
Z. Interpret statistical significance of the results. Is the marginal effect of X statistically gnificant?
Is the marginal effect of Y statistically significant?
NO
-5
X
-10
hw2.pdf - Adobe Reader
-5.0 -2.5 0.0 2.5 6.0
X
1.0-
0.5
30.0
-0.5
Marginal effect of X on Z
Tools
0.70 0.75 080 0.85
0.90](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F48604a4c-3202-477f-8529-4ed20bf38349%2Fe1420c8a-3d81-4228-ac4b-cccc4a1005ab%2Fzokj0co_processed.jpeg&w=3840&q=75)
Transcribed Image Text:100%
10
5
Problem 1: Warm up
a. Look at the plots below. Provide detailed substantive interpretation of the relation among X, Y and
Z. Interpret statistical significance of the results. Is the marginal effect of X statistically gnificant?
Is the marginal effect of Y statistically significant?
NO
-5
X
-10
hw2.pdf - Adobe Reader
-5.0 -2.5 0.0 2.5 6.0
X
1.0-
0.5
30.0
-0.5
Marginal effect of X on Z
Tools
0.70 0.75 080 0.85
0.90
![100%
9
b. Suppose that in addition to the plots above, you also received the following regression table. Interpret
the table in detail. Is the coefficient on Y statistically significant? Is the effect of Y statistically
significant? What is the "best" model? What do R-squared suggest?
D
hw2 pdf Adobe Reader
65
X
Y
X*Y
W
Constant
Observations
R²
Adjusted R2-
Note:
Table 1: Models comparison
(1)
2.099***
(0.120)
Dependent variable:
0.060
(0.450)
-2.555***
(0.159)
0.208
(0.339)
500
0.395
0.391
Z
(2)
0.629***
(0.097)
0.272
(0.610)
0.023
(0.071)
0.071
(0.442)
(3)
2.098***
(0.120)
0.221
(0.494)
-2.558***
(0.159)
0.046
(0.058)
0.118
(0.358)
Tools
500
500
0.079
0.396
0.074
0.391
*p<0.1; **p<0,05; ***p<0.01](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F48604a4c-3202-477f-8529-4ed20bf38349%2Fe1420c8a-3d81-4228-ac4b-cccc4a1005ab%2Fbmu8lb_processed.jpeg&w=3840&q=75)
Transcribed Image Text:100%
9
b. Suppose that in addition to the plots above, you also received the following regression table. Interpret
the table in detail. Is the coefficient on Y statistically significant? Is the effect of Y statistically
significant? What is the "best" model? What do R-squared suggest?
D
hw2 pdf Adobe Reader
65
X
Y
X*Y
W
Constant
Observations
R²
Adjusted R2-
Note:
Table 1: Models comparison
(1)
2.099***
(0.120)
Dependent variable:
0.060
(0.450)
-2.555***
(0.159)
0.208
(0.339)
500
0.395
0.391
Z
(2)
0.629***
(0.097)
0.272
(0.610)
0.023
(0.071)
0.071
(0.442)
(3)
2.098***
(0.120)
0.221
(0.494)
-2.558***
(0.159)
0.046
(0.058)
0.118
(0.358)
Tools
500
500
0.079
0.396
0.074
0.391
*p<0.1; **p<0,05; ***p<0.01
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