Trying to create a pricing model for homes in the tristate area. I haven't calculated the coefficients for the regression- but i was going to start with structure
price of house = a(house sq feet) + b(land acreage) - c(avg train commute to nyc) - d(pv of property taxes)
are there any other factors u think will have significant explanatory power? # of bathrooms, # of bedrooms, age of house, some sorta rating or score for school district quality (think this might be at least partly explained by property tax), etc. any suggestions?
the point of this is two fold- first i figure if i can create a high r2 regression- i can find which neighborhoods are over/undervalued. secondly i can determine how well a house is priced within that market.
i ain't exactly a mathmatician- so all comments are welcome.
2006-12-15
14:16:56
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3 answers
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asked by
stains
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Mathematics