5.6 Nuevo Modelo


LOGPRICE=α+β1(LOGAREA)+β2(SIGNEDYes) +β3(HOUSEB)+β4(HOUSEC)+ϵ
Observations 430
Dependent variable LOGPRICE
Type OLS linear regression
F(4,425) 93.08
0.47
Adj. R² 0.46
Est. S.E. t val. p
(Intercept) -9.37 0.59 -15.78 0.00
LOGAREA 1.31 0.08 15.54 0.00
SIGNEDYes 1.19 0.13 9.09 0.00
HOUSEB 0.03 0.10 0.28 0.78
HOUSEC -0.42 0.23 -1.81 0.07
Standard errors: OLS

LOGPRICE=9.37+1.31(LOGAREA)+1.19(SIGNEDYes) +0.03(HOUSEB)0.42(HOUSEC)+ϵ


Diagnosis