Question 3 We have a time series dataset from the US which includes the following variables for the period 1960- 1999: • Y₁: Per capita chicken consumption (in pounds) in year t. . PC: The price of chicken (in cents per pound) in year t.
Question 3 We have a time series dataset from the US which includes the following variables for the period 1960- 1999: • Y₁: Per capita chicken consumption (in pounds) in year t. . PC: The price of chicken (in cents per pound) in year t.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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the question 3 is for context, need help answering just for the c section
![Question 3
We have a time series dataset from the US which includes the following variables for the period 1960-
1999:
Yt: Per capita chicken consumption (in pounds) in year t.
PC: The price of chicken (in cents per pound) in year t.
PB: The price of beef (in cents per pound) in year t.
YD: Per capita disposable income (in hundreds of dollars) in year t.
YD2t: YD+ squared, i.e. YD2, = YD²
We estimate by OLS the following regression model:
Table 2
■
.
Dependent variable: Y
Number of observations: 40
Variable
intercept
PC
PB
YD
YD2
R-squared
F statistic
(p-value)
Coefficient
27.6
-0.61
0.09
0.20
-0.0001
0.99
8.74
(0.006)
Standard Error
1.58
0.16
0.04
0.01
0.00005](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F52267fea-f16d-45d0-8530-12244b217108%2F265beaf5-47e3-4d3f-bad2-6fea74349aa3%2Fb09oub5_processed.png&w=3840&q=75)
Transcribed Image Text:Question 3
We have a time series dataset from the US which includes the following variables for the period 1960-
1999:
Yt: Per capita chicken consumption (in pounds) in year t.
PC: The price of chicken (in cents per pound) in year t.
PB: The price of beef (in cents per pound) in year t.
YD: Per capita disposable income (in hundreds of dollars) in year t.
YD2t: YD+ squared, i.e. YD2, = YD²
We estimate by OLS the following regression model:
Table 2
■
.
Dependent variable: Y
Number of observations: 40
Variable
intercept
PC
PB
YD
YD2
R-squared
F statistic
(p-value)
Coefficient
27.6
-0.61
0.09
0.20
-0.0001
0.99
8.74
(0.006)
Standard Error
1.58
0.16
0.04
0.01
0.00005
![O
Test the significance of the coefficient of PB. Use a 10% significance level.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F52267fea-f16d-45d0-8530-12244b217108%2F265beaf5-47e3-4d3f-bad2-6fea74349aa3%2F5zilloa_processed.png&w=3840&q=75)
Transcribed Image Text:O
Test the significance of the coefficient of PB. Use a 10% significance level.
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