1. Nguyễn Thị Tuyết – QN3B
Ordinary Least Squares Estimation
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Dependent variable is QA
20 observations used for estimation from 1 to 20
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Regressor Coefficient Standard Error T-Ratio[Prob]
INPT 1373.2 171.4084 8.0115[.000]
PA -113.4178 32.0321 -3.5408[.003]
AD -83.8710 15.2799 -5.4890[.000]
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*
R-Squared .73994 F-statistic F( 2, 17) 24.1849[.000]
R-Bar-Squared .70935 S.E. of Regression 83.7326
Residual Sum of Squares 119189.6 Mean of Dependent Variable 460.2000
S.D. of Dependent Variable 155.3125 Maximum of Log-likelihood -115.3062
DW-statistic 1.9382
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Diagnostic Tests
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* Test Statistics * LM Version * F Version *
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*
* * * *
* A:Serial Correlation *CHI-SQ( 1)= .0027207[.958]*F( 1, 16)= .0021768[.963]*
* * * *
* B:Functional Form *CHI-SQ( 1)= .019985[.888]*F( 1, 16)= .016004[.901]*
* * * *
* C:Normality *CHI-SQ( 2)= 1.1492[.563]* Not applicable *
* * * *
* D:Heteroscedasticity *CHI-SQ( 1)= 4.1611[.041]*F( 1, 18)= 4.7288[.043]*
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A:Lagrange multiplier test of residual serial correlation
B:Ramsey's RESET test using the square of the fitted values
C:Based on a test of skewness and kurtosis of residuals
1

2. Nguyễn Thị Tuyết – QN3B
D:Based on the regression of squared residuals on squared fitted values
2

3. Nguyễn Thị Tuyết – QN3B
Ordinary Least Squares Estimation
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Dependent variable is E2
20 observations used for estimation from 1 to 20
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Regressor Coefficient Standard Error T-Ratio[Prob]
INPT 403.1755 2920.4 .13805[.892]
QAM2 .024291 .011170 2.1746[.043]
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R-Squared .20805 F-statistic F( 1, 18) 4.7288[.043]
R-Bar-Squared .16406 S.E. of Regression 6325.0
Residual Sum of Squares 7.20E+08 Mean of Dependent Variable 5959.5
S.D. of Dependent Variable 6917.9 Maximum of Log-likelihood -202.3706
DW-statistic 1.3902
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Diagnostic Tests
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* Test Statistics * LM Version * F Version *
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*
* * * *
* A:Serial Correlation *CHI-SQ( 1)= 1.9457[.163]*F( 1, 17)= 1.8320[.194]*
* * * *
* B:Functional Form *CHI-SQ( 1)= .94730[.330]*F( 1, 17)= .84524[.371]*
* * * *
* C:Normality *CHI-SQ( 2)= 6.3954[.041]* Not applicable *
* * * *
* D:Heteroscedasticity *CHI-SQ( 1)= .11512[.734]*F( 1, 18)= .10420[.751]*
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A:Lagrange multiplier test of residual serial correlation
B:Ramsey's RESET test using the square of the fitted values
C:Based on a test of skewness and kurtosis of residuals
D:Based on the regression of squared residuals on squared fitted values
3

4. Nguyễn Thị Tuyết – QN3B
4

5. Nguyễn Thị Tuyết – QN3B
Ordinary Least Squares Estimation
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Dependent variable is LQA
20 observations used for estimation from 1 to 20
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*
Regressor Coefficient Standard Error T-Ratio[Prob]
INPT 8.5144 .79753 10.6759[.000]
LPA -1.0140 .48347 -2.0973[.051]
LAD -.60439 .15541 -3.8890[.001]
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R-Squared .56477 F-statistic F( 2, 17) 11.0300[.001]
R-Bar-Squared .51357 S.E. of Regression .25647
Residual Sum of Squares 1.1182 Mean of Dependent Variable 6.0725
S.D. of Dependent Variable .36772 Maximum of Log-likelihood .46154
DW-statistic 1.6360
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*
Diagnostic Tests
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*
* Test Statistics * LM Version * F Version *
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*
* * * *
* A:Serial Correlation *CHI-SQ( 1)= .94765[.330]*F( 1, 16)= .79583[.386]*
* * * *
* B:Functional Form *CHI-SQ( 1)= 5.1153[.024]*F( 1, 16)= 5.4986[.032]*
* * * *
* C:Normality *CHI-SQ( 2)= 3.9650[.138]* Not applicable *
* * * *
* D:Heteroscedasticity *CHI-SQ( 1)= .11701[.732]*F( 1, 18)= .10593[.749]*
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*
A:Lagrange multiplier test of residual serial correlation
B:Ramsey's RESET test using the square of the fitted values
5

6. Nguyễn Thị Tuyết – QN3B
C:Based on a test of skewness and kurtosis of residuals
D:Based on the regression of squared residuals on squared fitted values
6