You are interested in the relationship between firm revenues and CEO age in Vietnam. The population model is: revenue =B+B ceoage + u 0 You take data from 231 Vietnamese firms and regress the revenue of the firm (in US dollars) on the age of the CEO. Based on the below regression output, you conclude that you can reject H :B₁=0 in favor of H :B₁0 at the 10% significance level. 1 a 1 . reg revenue_usd ceoage Source Model Residual Total revenue_usd ceoage _cons True False SS 3.8227e+10 5.3751e+13 5.3789e+13 df MS 3.8227e+10 1 239 2.2490e+11 Coef. Std. Err. 1297.279 3146.597 118183.2 152291 Number of obs F(1, 239) Prob > F R-squared Adj R-squared 240 2.2412e+11 Root MSE t P>|t| 0.41 0.681 0.78 0.438 = -4901.326 -181820.8 241 0.17 0.6805 0.0007 -0.0035 4.7e+05 [95% Conf. Interval] 7495.884 418187.2
You are interested in the relationship between firm revenues and CEO age in Vietnam. The population model is: revenue =B+B ceoage + u 0 You take data from 231 Vietnamese firms and regress the revenue of the firm (in US dollars) on the age of the CEO. Based on the below regression output, you conclude that you can reject H :B₁=0 in favor of H :B₁0 at the 10% significance level. 1 a 1 . reg revenue_usd ceoage Source Model Residual Total revenue_usd ceoage _cons True False SS 3.8227e+10 5.3751e+13 5.3789e+13 df MS 3.8227e+10 1 239 2.2490e+11 Coef. Std. Err. 1297.279 3146.597 118183.2 152291 Number of obs F(1, 239) Prob > F R-squared Adj R-squared 240 2.2412e+11 Root MSE t P>|t| 0.41 0.681 0.78 0.438 = -4901.326 -181820.8 241 0.17 0.6805 0.0007 -0.0035 4.7e+05 [95% Conf. Interval] 7495.884 418187.2
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
![You are interested in the relationship between firm revenues and CEO age in Vietnam. The population model is:
revenue =B+B ceoage + u
0
You take data from 231 Vietnamese firms and regress the revenue of the firm (in US dollars) on the age of the CEO. Based on the below
regression output, you conclude that you can reject H:₁=0 in favor of H: #0 at the 10% significance level.
1
1
.
reg revenue_usd ceoage
Source
Model
Residual
Total
revenue usd
ceoage
cons
True
False
SS
3.8227e+10
5.3751e+13
5.3789e+13
Coef.
df
1 3.8227e+10
239 2.2490e+11
MS
Std. Err.
1297.279 3146.597
118183.2
152291
240 2.2412e+11 Root MSE
Number of obs
F (1, 239)
Prob > F
R-squared
t
Adj R-squared
P>|t|
0.41 0.681
0.78 0.438
=
-4901.326
-181820.8
=
=
=
=
=
241
0.17
0.6805
0.0007
-0.0035
4.7e+05
[95% Conf. Interval]
7495.884
418187.2](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc694e3a2-255a-4199-a3ac-dcad2b8bf76b%2Fa1889a49-3b01-44b6-9db9-36f9afdca397%2F980jn8a_processed.png&w=3840&q=75)
Transcribed Image Text:You are interested in the relationship between firm revenues and CEO age in Vietnam. The population model is:
revenue =B+B ceoage + u
0
You take data from 231 Vietnamese firms and regress the revenue of the firm (in US dollars) on the age of the CEO. Based on the below
regression output, you conclude that you can reject H:₁=0 in favor of H: #0 at the 10% significance level.
1
1
.
reg revenue_usd ceoage
Source
Model
Residual
Total
revenue usd
ceoage
cons
True
False
SS
3.8227e+10
5.3751e+13
5.3789e+13
Coef.
df
1 3.8227e+10
239 2.2490e+11
MS
Std. Err.
1297.279 3146.597
118183.2
152291
240 2.2412e+11 Root MSE
Number of obs
F (1, 239)
Prob > F
R-squared
t
Adj R-squared
P>|t|
0.41 0.681
0.78 0.438
=
-4901.326
-181820.8
=
=
=
=
=
241
0.17
0.6805
0.0007
-0.0035
4.7e+05
[95% Conf. Interval]
7495.884
418187.2
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