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
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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. 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
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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