The output below regresses Life Expectancy in a country on Log(Average Income). The equation for the regression is given by: Life Expectancy; = ßo + B₁ Log(Average Income); + ɛi What is the predicted life expectancy for a country with average income equal to $40,000? Note: Log(Averagelncome) is the natural logarithm of average income, not log base 10. reg life expectancy log_income Source SS df MS Number of obs = F(1, 184) 186 = 386.30 Model Residual 5714.78808 2722.03399 184 1 5714.78808 14.793663 Prob > F = 0.0000 R-squared = 0.6774 Total 8436.82208 185 45.6044436 Adj R-squared = Root MSE 0.6756 = 3.8463 life expec~y Coefficient Std. err. t P>|t| [95% conf. interval] log_income _ cons 4.726684 .2404885 28.68847 2.244139 19.65 0.000 12.78 0.000 4.252214 24.26092 5.201153 33.11602
The output below regresses Life Expectancy in a country on Log(Average Income). The equation for the regression is given by: Life Expectancy; = ßo + B₁ Log(Average Income); + ɛi What is the predicted life expectancy for a country with average income equal to $40,000? Note: Log(Averagelncome) is the natural logarithm of average income, not log base 10. reg life expectancy log_income Source SS df MS Number of obs = F(1, 184) 186 = 386.30 Model Residual 5714.78808 2722.03399 184 1 5714.78808 14.793663 Prob > F = 0.0000 R-squared = 0.6774 Total 8436.82208 185 45.6044436 Adj R-squared = Root MSE 0.6756 = 3.8463 life expec~y Coefficient Std. err. t P>|t| [95% conf. interval] log_income _ cons 4.726684 .2404885 28.68847 2.244139 19.65 0.000 12.78 0.000 4.252214 24.26092 5.201153 33.11602
COMPREHENSIVE MICROSOFT OFFICE 365 EXCE
1st Edition
ISBN:9780357392676
Author:FREUND, Steven
Publisher:FREUND, Steven
Chapter6: Creating, Sorting, And Querying A Table
Section: Chapter Questions
Problem 6EYK
Related questions
Question
![The output below regresses Life Expectancy in a country on Log(Average Income). The
equation for the regression is given by:
Life Expectancy; = ßo + B₁ Log(Average Income); + ɛi
What is the predicted life expectancy for a country with average income equal to $40,000?
Note: Log(Averagelncome) is the natural logarithm of average income, not log base 10.
reg life expectancy log_income
Source
SS
df
MS
Number of obs =
F(1, 184)
186
=
386.30
Model
Residual
5714.78808
2722.03399
184
1 5714.78808
14.793663
Prob > F
=
0.0000
R-squared
=
0.6774
Total
8436.82208
185 45.6044436
Adj R-squared =
Root MSE
0.6756
=
3.8463
life expec~y
Coefficient Std. err.
t
P>|t|
[95% conf. interval]
log_income
_ cons
4.726684 .2404885
28.68847 2.244139
19.65 0.000
12.78 0.000
4.252214
24.26092
5.201153
33.11602](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2225a944-df22-4b7d-83fa-578c45dad04f%2Fa42064b1-bdc2-470d-90b7-6b644d0f855c%2Fn4f6ae_processed.png&w=3840&q=75)
Transcribed Image Text:The output below regresses Life Expectancy in a country on Log(Average Income). The
equation for the regression is given by:
Life Expectancy; = ßo + B₁ Log(Average Income); + ɛi
What is the predicted life expectancy for a country with average income equal to $40,000?
Note: Log(Averagelncome) is the natural logarithm of average income, not log base 10.
reg life expectancy log_income
Source
SS
df
MS
Number of obs =
F(1, 184)
186
=
386.30
Model
Residual
5714.78808
2722.03399
184
1 5714.78808
14.793663
Prob > F
=
0.0000
R-squared
=
0.6774
Total
8436.82208
185 45.6044436
Adj R-squared =
Root MSE
0.6756
=
3.8463
life expec~y
Coefficient Std. err.
t
P>|t|
[95% conf. interval]
log_income
_ cons
4.726684 .2404885
28.68847 2.244139
19.65 0.000
12.78 0.000
4.252214
24.26092
5.201153
33.11602
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