reg crimerate unemp_rate poverty_rate, r inear regression Robust crimerate Coefficient std. err. unemp_rate overty_rate _cons 7.79388 3.163542 21.07148 2.630696 140.2995 29.76429 Number of obs F(2, 1986) Prob > F R-squared Root MSE t P>|t| 2.46 0.014 8.01 0.000 4.71 0.000 |||||||||| [95% conf. intervall 1.589671 15.91227 81.92703 1,989 48.27 0.0000 0.0966 277.45 13.99809 26.23069 198.6721 Using the same information as in Question 1, which of the following represents the equation we are estimating here?
reg crimerate unemp_rate poverty_rate, r inear regression Robust crimerate Coefficient std. err. unemp_rate overty_rate _cons 7.79388 3.163542 21.07148 2.630696 140.2995 29.76429 Number of obs F(2, 1986) Prob > F R-squared Root MSE t P>|t| 2.46 0.014 8.01 0.000 4.71 0.000 |||||||||| [95% conf. intervall 1.589671 15.91227 81.92703 1,989 48.27 0.0000 0.0966 277.45 13.99809 26.23069 198.6721 Using the same information as in Question 1, which of the following represents the equation we are estimating here?
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
![. reg crimerate unemp_rate poverty_rate, r
Linear regression
Robust
crimerate Coefficient std. err.
unemp_rate
poverty_rate
_cons
7.79388 3.163542
21.07148 2.630696
140.2995 29.76429
unempi = U₁ + a₁povertyį
Number of obs
F(2, 1986)
Prob > F
R-squared
Root MSE
t P>|t|
2.46 0.014
8.01 0.000
4.71 0.000
Crime Rate; ao + ajunempi + a2povertyi + ui
O CrimeRate; do + ajunempi + a₂povertyį + Ui
unempi = α0 + α₁ povertyi + Ui
Crime Rate; = a₁unemp; + a2poverty; +αo
unempi = ao+apovertyį + Ui
||||||||||
=
=
=
Using the same information as in Question 1, which of the following represents the
equation we are estimating here?
1.589671
15.91227
81.92703
1,989
48.27
[95% conf. interval]
0.0000
0.0966
277.45
13.99809
26.23069
198.6721](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa8ba665a-07b4-4059-85ee-f04e2da729ec%2F51d6733f-2cb8-4929-8ff3-744225ddb558%2Fh05quh9d_processed.png&w=3840&q=75)
Transcribed Image Text:. reg crimerate unemp_rate poverty_rate, r
Linear regression
Robust
crimerate Coefficient std. err.
unemp_rate
poverty_rate
_cons
7.79388 3.163542
21.07148 2.630696
140.2995 29.76429
unempi = U₁ + a₁povertyį
Number of obs
F(2, 1986)
Prob > F
R-squared
Root MSE
t P>|t|
2.46 0.014
8.01 0.000
4.71 0.000
Crime Rate; ao + ajunempi + a2povertyi + ui
O CrimeRate; do + ajunempi + a₂povertyį + Ui
unempi = α0 + α₁ povertyi + Ui
Crime Rate; = a₁unemp; + a2poverty; +αo
unempi = ao+apovertyį + Ui
||||||||||
=
=
=
Using the same information as in Question 1, which of the following represents the
equation we are estimating here?
1.589671
15.91227
81.92703
1,989
48.27
[95% conf. interval]
0.0000
0.0966
277.45
13.99809
26.23069
198.6721
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