Dependent Variable: INTEREST Method: Least Squares Date: 08/08/20 Time: 17:38 Sample: 2010M01 2019M12 Included observations: 120 Variable с C UNEMP R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) E E(-1) E(-2) Coefficient Std. Error t-Statistic Prob. 9.586787 1.478492 6.484167 0.0000 -1.232859 0.267930 -4.601419 0.0000 0.152135 Mean dependent var 0.144949 S.D. dependent var 1.105708 Akaike info criterion 144.2656 Schwarz criterion -181.3225 Hannan-Quinn criter. 21.17306 Durbin-Watson stat 0.000011 View Proc Object Print Name Freeze Sample Sheet Stats Spec Correlation The above is the regression result between the Australian monthly unemployment rate (UNEMP, independent variable) and monthly interest rate (INTEREST, dependent variable). Both data series are in percentages. The residuals E from the above regression showing the following correlation matrix: O b. O c. O d. E E(-1) 1.000000 0.985968 0.985968 1.000000 0.974748 0.985503 2.799500 1.195761 3.055375 E(-2) 0.974748 0.985503 1.000000 3.101833 3.074242 0.028137 What is the correct statement about the error term of the model? Select one: O a. The evidence suggests that the error term is autocorrelated or serially correlated. The evidence suggests that the error term is homoskedastic The evidence suggests that the error term is heteroskedastic The evidence suggests that the error term is conditionally uncorrelated
Dependent Variable: INTEREST Method: Least Squares Date: 08/08/20 Time: 17:38 Sample: 2010M01 2019M12 Included observations: 120 Variable с C UNEMP R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood F-statistic Prob(F-statistic) E E(-1) E(-2) Coefficient Std. Error t-Statistic Prob. 9.586787 1.478492 6.484167 0.0000 -1.232859 0.267930 -4.601419 0.0000 0.152135 Mean dependent var 0.144949 S.D. dependent var 1.105708 Akaike info criterion 144.2656 Schwarz criterion -181.3225 Hannan-Quinn criter. 21.17306 Durbin-Watson stat 0.000011 View Proc Object Print Name Freeze Sample Sheet Stats Spec Correlation The above is the regression result between the Australian monthly unemployment rate (UNEMP, independent variable) and monthly interest rate (INTEREST, dependent variable). Both data series are in percentages. The residuals E from the above regression showing the following correlation matrix: O b. O c. O d. E E(-1) 1.000000 0.985968 0.985968 1.000000 0.974748 0.985503 2.799500 1.195761 3.055375 E(-2) 0.974748 0.985503 1.000000 3.101833 3.074242 0.028137 What is the correct statement about the error term of the model? Select one: O a. The evidence suggests that the error term is autocorrelated or serially correlated. The evidence suggests that the error term is homoskedastic The evidence suggests that the error term is heteroskedastic The evidence suggests that the error term is conditionally uncorrelated
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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Q1A-
Transcribed Image Text:Dependent Variable: INTEREST
Method: Least Squares
Date: 08/08/20 Time: 17:38
Sample: 2010M01 2019M12
Included observations: 120
Variable
R-squared
Adjusted R-squared
S.E. of regression
Sum squared resid
Log likelihood
F-statistic
Prob(F-statistic)
с
UNEMP
E
E(-1)
E(-2)
Coefficient
E
1.000000
0.985968
0.974748
a.
9.586787
-1.232859
Select one:
The above is the regression result between the Australian monthly unemployment rate (UNEMP, independent variable) and monthly interest rate (INTEREST,
dependent variable). Both data series are in percentages. The residuals E from the above regression showing the following correlation matrix:
View Proc Object Print Name Freeze Sample Sheet Stats Spec
Correlation
Std. Error t-Statistic Prob.
1.478492 6.484167 0.0000
0.267930 -4.601419 0.0000
0.152135 Mean dependent var
0.144949
S.D. dependent var
1.105708
Akaike info criterion
144.2656 Schwarz criterion
-181.3225 Hannan-Quinn criter.
21.17306 Durbin-Watson stat
0.000011
E(-1)
0.985968
1.000000
0.985503
2.799500
1.195761
3.055375
3.101833
3.074242
0.028137
E(-2)
0.974748
0.985503
1.000000
What is the correct statement about the error term of the model?
The evidence suggests that the error term is autocorrelated or serially correlated.
O b. The evidence suggests that the error term is homoskedastic
O C. The evidence suggests that the error term is heteroskedastic
Od. The evidence suggests that the error term is conditionally uncorrelated
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