This paper concentrates on the primary theme of Chasewood Apartments, Independent, Dependent Variables, Linear Regression, Relationship, Forecast. in which you have to explain and evaluate its intricate aspects in detail. In addition to this, this paper has been reviewed and purchased by most of the students hence; it has been rated 4.8 points on the scale of 5 points. Besides, the price of this paper starts from £ 79. For more details and full access to the paper, please refer to the site.

Chasewood Apartments is a 300-unit complex near Fairway University that attracts mostly university students. The manager has collected the following data and wants to project the number of units leased in Semester 9 using simple linear regression. Here is the information that has been collected:

Semester University Enrollment
(in thousands) Average Lease Price
($) Number of Units
Leased
l 7.2 450 291
2 6.3 460 228
3 6.7 450 252
4 7.0 470 265
5 6.9 440 270
6 6.4 430 240
7 7.1 460 288
8 6.7 440 246

In answering these questions, you must identify and use the correct independent and dependent variables.

a) The apartment manager wants to forecast the Number of Units Leased as a function of time. What is the linear regression relationship the manager should use and what is the forecast for the Number of Units Leased for Semester 9`?

b) Suppose the manager believes that the Number of Units Leased is a function only of University Enrollment. What is the linear regression relationship the manager should use and what is the forecast for the Number o{Units Leased for Semester 9 if the enrollment is expected to 6,700 students for Semester 9`?

c) Suppose the manager believes that the Number of Units Leased is a function only of the Average Lease Price. What is the linear regression relationship the manager should use and what is the forecast for the Number of Units Leased for Semester 9 if the forecast for the Average
Lease Price is $460 for Semester 9?

d) Considering the strength of each of the relationships that you found in pa1is a) through c), would you use any of these to forecast the Number of Units Leased for Semester 9? Explain your answer.