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QUESTION 1 1.5 points Save Answer Suppose a researcher collects data on houses that have been sold in a particular neighbourh

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A family purchases a 2000 square foot home and plans to make extensions totalling 500 square feet. The house currently has a pool, and a real estate agent has reported that the house is in excellent condition. However, the house does not have a view,

Before extention:

size =2000 ;pool=1 ;condition =excellent=1 ;View=0

After extention:

size =2500 ;pool=1 ;condition =excellent=1 ;View=0

First we have to choose which model we should use

Here we will use model 1 because in that model all explanotory variables are significant.Though For model 2 R^2 is highest (0.74) but ln(size) is not significant at 5% because p-value not less than 0.05

ln(price) =10.97 +0.00042*Size+0.082*Pool + 0.037*View +0.13*Condition

price=exp(10.97 +0.00042*Size+0.082*Pool + 0.037*View +0.13*Condition)

Before extention:

price=exp(10.97+0.00042*2000+0.082+0.037*0 +0.13*1)

=166375

After extention:

price=exp(10.97+0.00042*2500+0.082+0.037*0 +0.13*1)

=205253

expected DOLLAR increase in the price of the home due to the planned extensions=Price after extention-Price Before extention=205253 - 166375=38878

Answer:

expected DOLLAR increase in the price of the home due to the planned extensions=38878

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