An agent for a residential real estate company in a suburb located outside a major city has the business objective ct developing more accurate estimates of the monthly rental cost for apa "'"c'dt the agent would like to use the size of an apartment, as dened by square footage to predict the monthly rental cost. The agent selects a sample of B one-bedroom apartmenthttm LBI'IBF V '0 " parts (a) through (F). ' MonthlyRerltlS} 975 1,550 800 1.450 1.950 900 1,325 1.400 D SizelSquare Feet] 900 1,350 900 1,100 1,800 700 1,350 1,050 a. Construct a scatter plot. Choose the correct graph beiow. O B. R2an 20003 - - I 9' 9s .: i Q ___.._~ .. _i - .i u I - i E: o 2.000 c 2,000 o 2.000 2-00\" Size (sq in size. [sq In rm can ll) 5'19 6': it} b. Use the least-squares method to determine the regression coefcients b0 and b1. be 2 I {Round to one decimal piece as needed.) b, I (Round to one decimal piece as needed.) 6. Interpret the meaning of co and b1 in this problem. Choose the correct answer below. 0 A. For each increase of 1 square toot in space, the monthly rent is expected to increase by on dollars. Apartments in this neighborhood cost at least bl dollars. 0 B. For each increase of 1 square loot in space, the monthly rent is expected to increase by b1 dollars Since X cannot be zero, on has no practical interpretation. 0 C. For each increase of 1 square foot in space. the rncnlhly rent is expected to increase by b1 dollars. Apartments in this neighborhood cost at least b0 dollars. 0 D. For each increase of 1 square foot in space. the mcnlhty rent is expected to increase by on dollars. Since X cannot be zero. b, has no practical interpretation. d. Predict the mean monthly rent for an apartment that has 1,001] square 1361. The predicted mean monthly rent for such an apartment is $ . (Round to the nearest cent as needed.)