An agent for a residential real estate company in a suburb located outside a major city has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward the goal, the agent would like to use the size of an apartment, as defined by square footage to predict the monthly rental cost. The agent selects a sample of 8 one-bedroom apartments and the data are shown. Complete parts (a) through (f). Monthly Rent ($) 875 1,600 800 1,500 1,950 925 1,800 1,250 Size (Square Feet) 750 1,300 900 1,150 1,900 700 1,250 1,050 a. Construct a scatter plot. Choose the correct graph below. O A. O B. O C. D. ARent (S) 2,0007 ARent (5) 2,000- A Rent (S) A Rent ($) 2,000 2,0007 2,000 2,000 2,000 2,000 Size (Sq ft) Size (sq ft) Size (Sq ft) Size (Sq ft) b. Use the least-squares method to determine the regression coefficients bo and by. bo = 175.5 (Round to one decimal place as needed.) b1 = 1.0 (Round to one decimal place as needed.) c. Interpret the meaning of bo and b, in this problem. Choose the correct answer below. O A. For each increase of 1 square foot in space, the monthly rent is expected to increase by b, dollars. Since X cannot be zero, bo has no practical interpretation. O B. For each increase of 1 square foot in space, the monthly rent is expected to increase by bo dollars. Apartments in this neighborhood cost at least b, dollars. O C. For each increase of 1 square foot in space, the monthly rent is expected to increase by b, dollars. Apartments in this neighborhood cost at least by dollars. O D. For each increase of 1 square foot in space, the monthly rent is expected to increase by bo dollars. Since X cannot be zero, b, has no practical interpretation