In: Statistics and Probability
A real estate agent is trying to learn about the pricing of a condominium complex. She collects the size (in square feet) and price (in $thousands) for 7 rooms in the complex, as shown below:
RoomNumber 408 401 324 232 231 115 101 SquareFootage 575 600 625 650 675 675 700 Price 185 190 200 205 210 220 225
(a) The real estate agent would like to use Square Footage to predict Price. Make a scatterplot of the Square Footage and Price data.
(b) If it is meaningful, calculate the correlation between Room Number and Price. If it is not meaningful, state why.
(c) If it is meaningful, calculate the correlation between Square Footage and Price. If it is not meaningful, state why.
(e) The least-squares regression line is the line that minimizes what?
(g) Two new units in this condo complex have square footages of 636 and 950. Calculate the predicted prices for each of these new units.
(h) For the two predicted prices in (g), which is more reliable? Why?
(a)
(b)
It is not meaningful to calculate the correlation between Room Number and Price as Price of a room does not depend on the room number. Also room number is a categorical variable with no order.
(c)
Correlation between Square Footage and Price = 0.975
(e)
The least-squares regression line is the line that minimizes Sum of square of errors.
(g)
Predicted price for square footage of 636 = - 0.1471 + 0.3191*636 = 202.801
Predicted price for square footage of 950= - 0.1471 + 0.3191*950= 303
(h)
Price predicted for square footage of 636 will be more reliable as square footage of 950 seems to be an outlier