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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options C and D for the mutiple choice questions are
C: The selling price of this particular house is less than the
predicted value by the amount of the residual.
D: The residual is the predicted selling orice for house with
zero square feet.
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Rhonda Clark, a Slippery Rock, Pennsylvania, real estate developer, has devised a regression model to help determine residential housing prices in northwestern Pennsylvania. The model was developed using recent sales in a particular neighborhood. The price (Y) of the house is based on the size (square footage = X) of the house. The model is: Y=13,473+37.65XY=13,473+37.65X The coefficient of correlation for the model is 0.63. Use the model to predict the selling price of a house that is 1,860 square...
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Please
provide hand-written explanation
• • 4.48 Rhonda Clark, a Slippery Rock, Pennsylvania, real estate developer, has devised a regression model to help determine residential housing prices in northwestern Pennsylvania. The model was developed using recent sales in a particular neighbor- hood. The price (Y) of the house is based on the size (square foot- age = X) of the house. The model is: Y = 13,473 + 37.65X The coefficient of correlation for the model is 0.63. a) Use...
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One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands ofdollars) for a random sample of homes for sale in a certain region. Complete all parts below (A.) Which variable is the explanatory variable? a. selling price b. square footage Square Footage, x Selling Price ($000s), y 2221 382.7 3046 353.4 1175 197.2 1938 332.2 3166 630.2 2857 383.9 4086 623.6...
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