The world’s Largest Sharp Brain Virtual Experts Marketplace Just a click Away
Levels Tought:
University
| Teaching Since: | Apr 2017 |
| Last Sign in: | 449 Weeks Ago, 1 Day Ago |
| Questions Answered: | 9562 |
| Tutorials Posted: | 9559 |
bachelor in business administration
Polytechnic State University Sanluis
Jan-2006 - Nov-2010
CPA
Polytechnic State University
Jan-2012 - Nov-2016
Professor
Harvard Square Academy (HS2)
Mar-2012 - Present
Carpet City wants to develop a means to forecast its carpet sales. The store manager believes that the store’s sales are directly related to the number of new housing starts in town. The man- ager has gathered data from county records on monthly house construction permits and from store records on monthly sales. These data are as follows:
Â
|
Monthly CarpetSales (1,000 yd.) |
MonthlyConstruction Permits |
|
5 |
21 |
|
10 |
35 |
|
4 |
10 |
|
3 |
12 |
|
8 |
16 |
|
2 |
9 |
|
12 |
41 |
|
11 |
15 |
|
9 |
18 |
|
14 |
26 |
Â
Â
Develop a linear regression model for these data and forecast carpet sales if 30 construction permits for new homes are filed.
Determine the strength of the causal relationship between monthly sales and new home con- struction by using correlation.
-----------