Based on the EViews results above, answer the following questions.a. What is your comments on the diagnostic tests of the model? i. Autocorrelation test ii. Heteroscedasticity test iii. Normality 65432-10-0.02Table 2A: Breusch-GodfreySerial Correlation LM Test:F-statistic97.4965Prob. F(2,45)Obs*R-squared 26.08613 Prob. Chi-Square(2)F-statisticObs*R-squaredTable 2B: Heteroscedasticity Test: White0.06201.900412 Prob. F(13,38)19.48754 Prob. Chi-Square(13)0.0637Scaled explained SS 12.33080 Prob. Chi-Square (13) 0.0617-0.010.00Table 2C: Jarque-Bera Test0.010.020.030.0.0000.0000Series: ResidualsSample 2000Q1 2004Q4Observations 20MeanMedianMaximumMinimumStd. Dev.SkewnessKurtosisJarque-BeraProbability1.69e-150.0014370.026899-0.0202660.0135240.1856232.2989430.5244200.769349 Table 2C: Estimated Regression ResultDependent Variable: LSDRMethod: Least SquaresSample (adjusted): 2000Q2 2012Q4Included observations: 51 after adjustmentsVariableLM2LREERLGDPLTBRLSDR(-1)сR-squaredAdjusted R-squaredS.E. of regressionSum squared residLog likelihoodF-statisticProb(F-statistic)Coefficient Std. Error t-StatisticProb.0.85930.02240.029879 0.167618 0.178259-0.199495 0.084326 -2.3657540.001576 0.207831 0.0075850.006450 0.0117330.99400.5497070.58520.717507 0.096076 7.468094 0.00001.100717 0.811970 1.3556130.1820Mean dependent var0.8224580.802731 S.D. dependent var0.068386Akaike info criterion0.210447Schwarz criterion67.63794 Hannan-Quinn criter.41.69215Durbin-Watson stat0.0000002.0904980.153970-2.417174-2.189900-2.3303261.003093

Solution: The outputs for the Breusch-Godfrey Serial correlation LM test, Heteroscedasticity test…

5 4 3 2 1 - -0.02 Table 2A: Breusch-Godfrey F-statistic 97.4965 Prob. F(2,45) Obs*R-squared 26.08613 Prob. Chi-Square (2) Table 2B: Heteroscedasticity Test: White 1.900412 Prob. F(13,38) 19.48754 Prob. Chi-Square (13) Scaled explained SS 12.33080 Prob. Chi-Square (13) F-statistic Obs*R-squared -0.01 Serial Correlation LM Test: 0.0.000 0.0000 0.00 Table 2C: Jarque-Bera Test 0.01 0.02 0.03 Series: Residuals Sample 2000Q1 2004Q4 Observations 20 Mean Median Maximum Minimum Std. Dev. Skewness Kurtosis 0.0620 0.0637 0.0617 Jarque-Bera Probability 1.69e-15 0.001437 0.026899 -0.020266 0.013524 0.185623 2.298943 0.524420 0.769349

5 4 3 2 1 - -0.02 Table 2A: Breusch-Godfrey F-statistic 97.4965 Prob. F(2,45) ObsR-squared 26.08613 Prob. Chi-Square (2) Table 2B: Heteroscedasticity Test: White 1.900412 Prob. F(13,38) 19.48754 Prob. Chi-Square (13) Scaled explained SS 12.33080 Prob. Chi-Square (13) F-statistic ObsR-squared -0.01 Serial Correlation LM Test: 0.0.000 0.0000 0.00 Table 2C: Jarque-Bera Test 0.01 0.02 0.03 Series: Residuals Sample 2000Q1 2004Q4 Observations 20 Mean Median Maximum Minimum Std. Dev. Skewness Kurtosis 0.0620 0.0637 0.0617 Jarque-Bera Probability 1.69e-15 0.001437 0.026899 -0.020266 0.013524 0.185623 2.298943 0.524420 0.769349

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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Only do D.