Use the information below to answer Q18 to Q20. The researcher performed a test for heteroskedasticity on residuals of equation (3). The table below shows the results. Heteroskedasticity Test: White Null hypothesis: Homoskedesticity F-statistic 86.00929 Prob. F(4,8270) 0.0000 Obs*R-squared 331.9048 Prob. Chi-Square(4) 0.0000 Scaled explained SS 32357.93 Prob. Chi-Square(4) 0.0000 Test Equation: Dependent Variable: RESID 2 Method: Least Squares Date: 08/23/22 Time: 20:24 Sample: 1 9275 Included observations: 0275 Variable Coefficient Std. Error t-Statistic Prob. C -4215.032 1385.697 3.088380 0.0020 AGE 2 2.024096 0.543003 3.729255 0.0002 INC 2 2.978221 0.167874 17.74082 0.0000 MARR*2 -3698.709 1114.654 -3.318258 0.0009 MALE 2 -148.8322 1291.419 -0.113698 0.9095 R-squared 0.035785 Mean dependent var 3379.589 Adjusted R-squared 0.035389 S.D. dependent var 47219.08 S.E. of regression 46376.53 Akaike info criterion 24.32751 Sum squared resid 1.90E+13 Schwarz criterion 24.33136 Log likelihood -112813.8 Hannan-Quinn criter. 24.32882 F-statistic 86.00929 Durbin-Watson stat 1.989164 Prob(F-statistic) 0.000 000 Q18. What can you infer from the White test result? [2] Q19. Which property of the OLS estimator is violated based on the White test result? [2] Q20. State an alternative method of estimating regression (3) that will address the concern of Q19. [2]