The above presents the result of regression of interest rate against unemployment rate, with the SACF of residuals. Which statement is correct about the regression? Select one: O a. The model shows strong evidence of autocorrelation of error term O b. The model shows no evidence of heteroskedasticity of error term O C. The model shows strong evidence of heteroskedasticity of error term O d. The model shows no evidence of autocorrelation of error term

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Chapter1: Making Economics Decisions
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q11- 

Dependent Variable: INTEREST
Method: Least Squares
Date: 09/10/20 Time: 20:54
Sample: 2010M01 2019M12
Included observations: 120
Variable
с
UNEMP
R-squared
Adjusted R-squared
S.E. of regression
Sum squared resid
-‒‒‒‒‒‒‒ -
I
Coefficient
Date: 09/10/20 Time: 20:54
Sample: 2010M01 2019M12
Included observations: 120
Autocorrelation Partial Correlation
I
1
Ⓒ Equation: UNTITLED Workfile: TEMP::Untitled\
View Proc Object Print Name Freeze Estimate Forecast Stats Resids
Correlogram of Residuals
9.586787 1.478492
-1.232859
0.152135 Mean dependent var
0.144949 S.D. dependent var
1.105708 Akaike info criterion
144.2656 Schwarz criterion
I
I
I
I
I
I
t-Statistic Prob.
0.0000
6.484167
0.267930 -4.601419 0.0000
I
Std. Error
I
I
I
I
I
T
I
II
I I
2.799500
1.195761
3.055375
3.101833
AC PAC Q-Stat Prob
1 0.961 0.961 113.60 0.00
2 0.926 0.033 219.96 0.00
3 0.893 0.010 319.72 0.00
4 0.853 -0.101 411.61 0.00
5 0.814 -0.019 496.06 0.00
6 0.783 0.067 574.71 0.00
7 0.745 -0.072 646.70 0.00
8 0.716 0.077 713.69 0.00
9 0.690 0.029 776.55 0.00
10 0.661 -0.048 834.71 0.00
The above presents the result of regression of interest rate against unemployment rate, with the SACF of residuals.
Which statement is correct about the regression?
Select one:
O a. The model shows strong evidence of autocorrelation of error term
O b.
The model shows no evidence of heteroskedasticity of error term
O C.
The model shows strong evidence of heteroskedasticity of error term
O d. The model shows no evidence of autocorrelation of error term
Transcribed Image Text:Dependent Variable: INTEREST Method: Least Squares Date: 09/10/20 Time: 20:54 Sample: 2010M01 2019M12 Included observations: 120 Variable с UNEMP R-squared Adjusted R-squared S.E. of regression Sum squared resid -‒‒‒‒‒‒‒ - I Coefficient Date: 09/10/20 Time: 20:54 Sample: 2010M01 2019M12 Included observations: 120 Autocorrelation Partial Correlation I 1 Ⓒ Equation: UNTITLED Workfile: TEMP::Untitled\ View Proc Object Print Name Freeze Estimate Forecast Stats Resids Correlogram of Residuals 9.586787 1.478492 -1.232859 0.152135 Mean dependent var 0.144949 S.D. dependent var 1.105708 Akaike info criterion 144.2656 Schwarz criterion I I I I I I t-Statistic Prob. 0.0000 6.484167 0.267930 -4.601419 0.0000 I Std. Error I I I I I T I II I I 2.799500 1.195761 3.055375 3.101833 AC PAC Q-Stat Prob 1 0.961 0.961 113.60 0.00 2 0.926 0.033 219.96 0.00 3 0.893 0.010 319.72 0.00 4 0.853 -0.101 411.61 0.00 5 0.814 -0.019 496.06 0.00 6 0.783 0.067 574.71 0.00 7 0.745 -0.072 646.70 0.00 8 0.716 0.077 713.69 0.00 9 0.690 0.029 776.55 0.00 10 0.661 -0.048 834.71 0.00 The above presents the result of regression of interest rate against unemployment rate, with the SACF of residuals. Which statement is correct about the regression? Select one: O a. The model shows strong evidence of autocorrelation of error term O b. The model shows no evidence of heteroskedasticity of error term O C. The model shows strong evidence of heteroskedasticity of error term O d. The model shows no evidence of autocorrelation of error term
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