In: Statistics and Probability
A real estate agent in Athens used regression analysis to
investigate the relationship between apartment sales prices and the
various characteristics of apartments and buildings. The variables
collected from a random sample of 25 compartments are as
follows:
Sale price: The sale price of the apartment (in €)
Apartments: Number of apartments in the building
Age: Age of the building (in years)
Size: Apartment size (area in square meters)
Parking spaces: Number of car parking spaces in the building
Excellent building condition (Pseudo-variable): 1 if the condition
of the building is
excellent, 0 different
Good building condition (Pseudo-variable): 1 if the condition of
the building is
good, 0 different
We have the following results of regression analysis with the OLS
method:
Coefficientsa |
||||||
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
||
B |
Std. Error |
Beta |
||||
1 |
(Constant) |
98308,606 |
22888,689 |
4,295 |
,000 |
|
Apartments |
5776,999 |
1215,251 |
,344 |
4,754 |
,000 |
|
Age |
-905,594 |
269,262 |
-,111 |
-3,363 |
,003 |
|
Size |
1237,643 |
142,945 |
,586 |
8,658 |
,000 |
|
Parking space |
2966,996 |
1313,465 |
,096 |
2,259 |
,037 |
|
Excellent |
52337,908 |
19957,138 |
,108 |
2,623 |
,017 |
|
Good |
5543,922 |
16714,509 |
,013 |
,332 |
,744 |
|
a. Dependent Variable: Sale price |
Questions:
1. State the estimated regression equation.
2. Comment on the importance of the regression rates.
3. Give the interpretation of the regression coefficients.
The estimated regression equation, as sale is the depedent variable would be:
1. Sale = 22888689 + 1215251*Apartment + 269262*Age +142945*Size + 1313465*Parking Space + 19957138*Excellent + 16714509*Good
2. From the given output of the regression analysis, we found the P-Value (Sig.) of Apartment, Age, Size, Parking Space and Excellent as 0.000, 0.003, 0.000, 0.037, 0.017 respectively which is less than the level of significance 0.05, therefore we reject the null hypothesis and conclude that there is statistically significant impact on sale of the explanatory variables Apartment, Age, Size, Parking Space and Excellent.
3. As the one unit change in explanatory variables Apartment, Age, Size, Parking Space, Excellent and Good then there must be the sale 62501259 Euro.
Sale = 22888689 + 1215251*1 + 269262*1 +142945*1 + 1313465*1 + 19957138*1 + 16714509*1
Sale = 22888689 + 1215251 + 269262 +142945 + 1313465 + 19957138 + 16714509