a. Write down the estimated result.
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
a. Write down the estimated result.
![Based on the EViews result in Table 1, answer the following questions.
Table 1: Estimated Regression Result
Dependent Variable: LSDR
Method: Least Squares
Sample: 2000Q1 2012Q4
Included observations: 52
Variable
LM2
LREER
LGDP
LTBR
с
R-squared
Adjusted R-squared
S.E. of regression
Sum squared resid
Log likelihood
F-statistic
Prob(F-statistic)
Coefficient
-0.182046 0.233180
-0.389654 0.114675 -3.397895
0.693465
0.195732 0.282253
-0.001812
0.017134 -0.105733
3.755816 1.009758 3.719522
Std. Error t-Statistic Prob.
-0.780708 0.4389
0.0014
0.4914
0.9162
0.0005
0.702003 Mean dependent var
0.568130 S.D. dependent var
0.100718 Akaike info criterion
0.476778 Schwarz criterion
Hannan-Quinn criter.
48.20584
17.77280 Durbin-Watson stat
0.000000
2.092678
0.153261
-1.661763
-1.474144
-1.589834
0.567689](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc77fc9e5-96a1-406a-8c87-27a7ecc654b2%2F5dfcfccc-3183-4ecd-92b9-ffb9c5724842%2Fu02pdc_processed.png&w=3840&q=75)
Transcribed Image Text:Based on the EViews result in Table 1, answer the following questions.
Table 1: Estimated Regression Result
Dependent Variable: LSDR
Method: Least Squares
Sample: 2000Q1 2012Q4
Included observations: 52
Variable
LM2
LREER
LGDP
LTBR
с
R-squared
Adjusted R-squared
S.E. of regression
Sum squared resid
Log likelihood
F-statistic
Prob(F-statistic)
Coefficient
-0.182046 0.233180
-0.389654 0.114675 -3.397895
0.693465
0.195732 0.282253
-0.001812
0.017134 -0.105733
3.755816 1.009758 3.719522
Std. Error t-Statistic Prob.
-0.780708 0.4389
0.0014
0.4914
0.9162
0.0005
0.702003 Mean dependent var
0.568130 S.D. dependent var
0.100718 Akaike info criterion
0.476778 Schwarz criterion
Hannan-Quinn criter.
48.20584
17.77280 Durbin-Watson stat
0.000000
2.092678
0.153261
-1.661763
-1.474144
-1.589834
0.567689
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