Use the following information to answer Q13-Q14. The researcher performed diagnostic tests on the residuals of regression (3). Breusch-Godfrey Serial Correlation LM Test: Null hypothesis: No serial correlation at up to 2 lags F-statistic 6.201477 Prob. F(2,9268) 0.0020 Obs*R-squared 12.39573 Prob. Chi-Square(2) 0.0020 Test Equation: Dependent Variable: RESID Method: Least Squares Date: 08/23/22 Time: 19:29 Sample: 1 9275 Included observations: 9275 Presample missing value lagged residuals set to zero. Variable Coefficient Std. Error t-Statistic Prob INC -0.001634 0.027081 -0.060320 0.9519 AGE 0.004516 0.059344 0.076107 0.9393 MARR -0.068389 1.439014 -0.047873 0.9618 MALE 0.105408 1.621548 0.065004 0.9482 C -0.099716 2.754545 -0.036201 0.9711 RESID(-1) 0.036574 0.010397 3.517782 0.0004 RESID(-2) -0.003042 0.010390 -0.292748 0.7697 R-squared 0.001336 Mean dependent var 1.08E-14 Adjusted R-squared 0.000690 S.D. dependent var 58.13719 S.E. of regression 58.11713 Akaike info criterion 10.96355 Sum squared resid 31303610 Schwarz criterion 10.96894 Log likelihood -50836.48 Hannan-Quinn criter. 10.96538 F-statistic 2.067159 Durbin-Watson stat 1.999973 Prob(F-statistic) 0.053670 Q13. Based on the Breusch and Godfrey test, what is the order of the lag of the serial correlation in the null hypothesis? [2] Q14. What can you infer from the Breusch and Godfrey test results? [2]