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A regression analysis of 117 homes for sale produced the following model, where price is in thousands of dollars and size is

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Answer #1

Here' the answer to the question. please write back in case you've doubts.

a. Take care that price is in certain units => $1000

So, every unit increase in size increases price by 0.067*1000 = $67

A is correct

b.

That would be Price ^ = (47.84+ 0.067*3000)*1000 = 248.84*1000 = $248,840

Answer: $248,840

c.

A 1300 sqft house would cost on average = (47.84+ 0.067*1300)*1000 = $134,940

Now asking price should $6000 less than this i.e. $134,940 - $6000 = $128,940

Asking price = $128,940

d.

The $6000 is basically the residual

Residual is basically = y-y^ ( actual - predicted). In our case we have been given this difference of actual and predicted price i.e. $6000

Answer: C. Residual

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