Choose the wrong statement regarding Figure 9.1 of Stock and Watson (the left graph on page 19 of Lecture Slides 7). а. The graph shows 220 data points (please do not count on the graph!). b. The scatter diagram shows some nonlinearity in the relationship between TestScore and District Income. C. The following R-code estimates the linear regression: > Im_robust(score4 - income, se_type = "HC1") %3D d. The following R-code estimates the cubic regression: > Im_robust(score4 - income + income^2 + income^3, se_type = "HC1") е. The following R-code estimates the linear-log regression: > Im_robust(score4 - log(income), se_type = "HC1")

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Choose the wrong statement regarding Figure 9.1 of Stock and Watson (the left graph on page 19 of Lecture
Slides 7).
а.
The graph shows 220 data points (please do not count on the graph!).
b.
OD. The scatter diagram shows some nonlinearity in the relationship between TestScore and District Income.
С.
The following R-code estimates the linear regression:
> Im_robust(score4 - income, se_type = "HC1")
%3D
O d. The following R-code estimates the cubic regression:
> Im_robust(score4 - income + income^2 + income^3, se_type = "HC1")
e. The following R-code estimates the linear-log regression:
> Im_robust(score4 - log(income), se_type = "HC1")
%3D
Transcribed Image Text:Choose the wrong statement regarding Figure 9.1 of Stock and Watson (the left graph on page 19 of Lecture Slides 7). а. The graph shows 220 data points (please do not count on the graph!). b. OD. The scatter diagram shows some nonlinearity in the relationship between TestScore and District Income. С. The following R-code estimates the linear regression: > Im_robust(score4 - income, se_type = "HC1") %3D O d. The following R-code estimates the cubic regression: > Im_robust(score4 - income + income^2 + income^3, se_type = "HC1") e. The following R-code estimates the linear-log regression: > Im_robust(score4 - log(income), se_type = "HC1") %3D
Test score
780
Linear regression
760
Linear-log regression
740
6
720
Cubic regression
700
680
660
640
620
10
20
30
40
50
District income
(thousands of dollars)
Transcribed Image Text:Test score 780 Linear regression 760 Linear-log regression 740 6 720 Cubic regression 700 680 660 640 620 10 20 30 40 50 District income (thousands of dollars)
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