OpenHouse_Price5variablesdata. Create scattered plot chart withX representing the age of the houseandY representing the selling price of the house in $100,000;plot the line and compute the R-square. Answer questions 9 to 12:

9. What are the slope and the R-squares on your chart? (4 points)

• a. Slope= -1.6019, R-square=0.1175
• b. Slope=-0.0734, R-square=0.1175
• c. Slope=9.8861, R-square=0.1175
• d. Slope=47.89, R-square=0.1175

10. What is the Y-intercept and its interpretation based on the chart? (4 points)

• a. Y-intercept=9.8861, it is the predicted selling price of a brand new house (zero year-old house) in $100,000.
• b. Y-intercept=47.89, it is the predicted selling price of a brand new house (zero year-old house) in $100,000.
• c. Y-intercept=9.8861, for one additional year one expects to see a decrease of about 9.8861 hundred thousand dollars in the selling price of the house.
• d. Y-intercept=47.89, for one additional year one expects to see a decrease of about 47.89 hundred thousand dollars in the selling price of the house.

11. If a house is 7 years old, using the chart and the equation, what is your prediction of the house's selling price? Pick the closest answer. (4 points)

• a. $ 3,667,670.00
• b. $ 937,230.00
• c. $ 1,039,990.00
• d. $ 5,910,330.00

12. What does each dot represent? (4 points)

• a. The Selling Price of a house
• b. The Age of a house
• c. A House
• d. The housing market

Age #Bathrooms #Rooms #BedRooms Age #FirePlaces sellingPrice in $100 42 1 7 4 42 0 4.9176 62 1 7 4 62 0 5.0208 40 1 6 3 40 0 4.5429 54 1 6 3 54 0 4.5573 42 1 6 3 42 0 5.0597 56 1 6 3 56 0 3.891 32 1 6 3 32 0 5.6039 32 1 6 3 32 0 5.8282 30 1 6 3 30 0 5.3003 30 1 5 2 30 0 6.2712 32 1 6 3 32 0 5.9592 32 1 6 3 32 0 5.6039 50 1.5 8 4 50 0 8.2464 17 1.5 6 3 17 0 7.7841 23 1 7 3 23 0 9.0384 22 1.5 6 3 22 0 7.5422 44 1.5 6 3 44 0 6.0931 3 1 7 3 3 0 8.14 31 1.5 8 4 31 0 9.1416 51 1 7 3 51 1 5.898 42 2.5 10 5 42 1 16.4202 14 2.5 9 5 14 1 14.4598 46 1 5 2 46 1 5.05 22 1.5 7 3 22 1 6.6969 40 1 6 3 40 1 5.9894 50 1.5 8 4 50 1 8.7951 48 1.5 8 4 48 1 8.3607 30 1.5 6 3 30 1 12