5.6 Nuevo Modelo

\[ \begin{aligned} \operatorname{LOGPRICE} &= \alpha + \beta_{1}(\operatorname{LOGAREA}) + \beta_{2}(\operatorname{SIGNED}_{\operatorname{Yes}})\ + \\ &\quad \beta_{3}(\operatorname{HOUSE}_{\operatorname{B}}) + \beta_{4}(\operatorname{HOUSE}_{\operatorname{C}}) + \epsilon \end{aligned} \]

Observations	430
Dependent variable	LOGPRICE
Type	OLS linear regression

F(4,425)	93.08
R²	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

\[ \begin{aligned} \operatorname{LOGPRICE} &= -9.37 + 1.31(\operatorname{LOGAREA}) + 1.19(\operatorname{SIGNED}_{\operatorname{Yes}})\ + \\ &\quad 0.03(\operatorname{HOUSE}_{\operatorname{B}}) - 0.42(\operatorname{HOUSE}_{\operatorname{C}}) + \epsilon \end{aligned} \]

Diagnosis