In: Statistics and Probability
An agent for a residential real estate company in a suburb located outside of Washington,DC, has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward that 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 48 apartments in a particular residential neighborhood and collects the following data:
RENT SIZE | |
950 850 | |
1600 1450 | |
1200 1085 | |
1500 1232 | |
950 718 | |
1700 1485 | |
1650 1136 | |
935 726 | |
875 700 | |
1150 956 | |
1400 1100 | |
1650 1285 | |
2300 1985 | |
1800 1369 | |
1400 1175 | |
1450 1225 | |
1100 1245 | |
1700 1259 | |
1200 1150 | |
1150 896 | |
1600 1361 | |
1650 1040 | |
1200 755 | |
800 1000 | |
1750 1200 |
a. Construct a scatter plot
b. Use the least-squares method to determine the regression coefficients b0 and b1
c. Interpret the meaning of b0 and b1 in this problem.
d. Predict the monthly rent for an apartment that has 800 square feet.
e. Why would it not be appropriate to use the model to predict the monthly rent for apartments that have 1500 square feet?
f. Your friends Jim and Jennifer are considering signing a lease for an apartment in this residential neighborhood. They are trying to decide between two apartments, one with 800 square feet for a monthly rent of $1130 and the other with 830 square feet for a monthly rent of $1410. Based on (a) through (d), which apartment do you think is a better deal?
a)
b)
using minitab
Regression Analysis: RENT versus SIZE
Analysis of Variance
Source DF Adj
SS Adj MS F-Value P-Value
Regression 1 2268777 2268777
59.91 0.000
SIZE 1 2268777
2268777 59.91 0.000
Error 23
870949 37867
Total 24 3139726
Model Summary
S R-sq
R-sq(adj) R-sq(pred)
194.595 72.26%
71.05% 69.12%
Coefficients
Term Coef SE Coef T-Value
P-Value VIF
Constant 177
161 1.10 0.283
SIZE 1.065
0.138 7.74 0.000 1.00
Regression Equation
RENT = 177 + 1.065 SIZE
c) b1 = 1.065
this mean on average rent increase by 1.065 unit when size increase by 1 unit
b0 = 177
it means on average the rent will be 177 when size =0
here it has no practical meaning
d)
y^ = 177 + 1.065 * 800
= 1029