Use the following information to answer Q10-Q11. The researcher estimated a nonlinear regression by adding the variable STORIES 2 (i.e., STORIES?). log(selling price) = bo + b, log(SFLA) + b2BEDS + b3BATHS + bASTORIES + b; STORIES + boVACANT + b,Age te (4) Dependent Variable: LOG(SELLING_PRICE) Method: Least Squares 3 Date: 08/03/21 Time: 16:58 Sample: 1 6660 IF YEAR=2001 Included observations: 1746 Variable Coefficient Std. Error t-Statistic Prob. C 5.898568 0.208468 28.29477 0.0000 LOG(SFLA) 0.925893 0.026756 34.60462 0.0000 BEDS -0.069610 0.009518 -7.313708 0.0000 BATHS 0.033590 0.015419 2.178491 0.0295 STORIES 0.471502 0.182371 2.585392 0.0098 STORIES^2 0. 149252 0.059597 2.504330 0.0124 VACANT -0.037820 0.011269 3.356101 0.0008 AGE -0.004177 0.000265 -15.78847 0.0000 R-squared 0.709350 Mean dependent var 12.01860 Adjusted R-squared 0.708179 S.D. dependent var 0.372115 S.E. of regression 0.201018 Akaike info criterion -0.366271 Sum squared resid 70.22965 Schwarz criterion -0.341231 Log likelihood 327.7548 Hannan-Quinn criter. -0.357014 F-statistic 605.9567 Durbin-Watson stat 1.329441 Prob(F-statistic) 0.000000