
ENGR.ECONOMIC ANALYSIS
14th Edition
ISBN: 9780190931919
Author: NEWNAN
Publisher: Oxford University Press
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![37. We ran a regression on the per capita death rate from Covid-19 using state level data. The
explanatory variables were vaxination rate, obesity rate, and population density. All the variables
are of the expected sign and statistically significant. Do you think we have a multicolinearity
probem? Explain.
regress deathpc vax obesity density
Source
Model
Residual
Total
SS
vax
obesity
density
_cons
99006.6009
101407.179
20041378
df
36
B 33002.2003
MS
46 2204. 50389
deathpc Coefficient Std. err.
-3.004803 1.101435
5.166446
2.2322
029574
1807242
133.2389
110.251
49 4090.07714
Number of obs
F(3, 46)
Prob > F
R-squared
Adj R-squared
Root MSE
|||||||
-2.73 0.009
2.31 0.025
6.11 0.000
1.21 0.233
||||
14.97
0.0000
0,4940
0.4610
46.952
t P>|t| [95% conf. interval]
-5.221877 -7877287
.6732606
9.65963
1211947
.2402536
-88.68488
355.1628](https://content.bartleby.com/qna-images/question/be204fad-ee76-46ba-8a00-9e0435bbb23b/6772062b-b97e-43b6-ba14-6e6a157d4a9a/dktej7_thumbnail.jpeg)
Transcribed Image Text:37. We ran a regression on the per capita death rate from Covid-19 using state level data. The
explanatory variables were vaxination rate, obesity rate, and population density. All the variables
are of the expected sign and statistically significant. Do you think we have a multicolinearity
probem? Explain.
regress deathpc vax obesity density
Source
Model
Residual
Total
SS
vax
obesity
density
_cons
99006.6009
101407.179
20041378
df
36
B 33002.2003
MS
46 2204. 50389
deathpc Coefficient Std. err.
-3.004803 1.101435
5.166446
2.2322
029574
1807242
133.2389
110.251
49 4090.07714
Number of obs
F(3, 46)
Prob > F
R-squared
Adj R-squared
Root MSE
|||||||
-2.73 0.009
2.31 0.025
6.11 0.000
1.21 0.233
||||
14.97
0.0000
0,4940
0.4610
46.952
t P>|t| [95% conf. interval]
-5.221877 -7877287
.6732606
9.65963
1211947
.2402536
-88.68488
355.1628
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