These data are from a 1980 survey conducted by the University of Wisconsin
Small Business Development Center. Source: Jonathan D. Cryer &
Robert B. Miller. Statistics for Business. Belmont, California: Duxbury /
Wadsworth, 1994.
Business Outlook 1= very unfavorable; 6 = very favorable.
Estimated market value of business in $1,000s
Type of business. 1 = Fast Food; 2=Supper Club; 3=Other
Type of ownership. 1=Sole proprietorship; 2=Partnership; 3=Corporate
Size of restaurant 1 = 1-9 Full Time Equivalent Employees.
2 = 10-20 full-time equivalent employees 3= More than 20 full-time equiv.
Obs: 279 (max= 600) Vars: 14 (max= 25) 29 Jul 1995 10:59 Var*Obs: 3906 (max= 4000) cells
| 1. id Identification Number |
| 2. busoutlk Business Outlook 1=very unfavor |
| 3. sales Gross 1979 Sales in $1,000s |
| 4. capital New capital invested in 1979 |
| 5. value Est. market value of business $ |
| 6. costper Cost of goods sold as % of sale |
| 7. wageper Wages as % of sales |
| 8. advper Advertising $ as % of sales |
| 9. type Type 1=fast food; 2=supper club |
| 10. seats Number of dining seats |
| 11. owner Type of Ownership |
| 12. ftempl No. of Full-Time Employees |
| 13. ptempl No. of Part-Time Employees |
| 14. size Size of Restaurant |
The above described data has been stored as two files
1) a text file that is tab delimited restau.txt
and
2) as an excel 4.0 work sheet restau.xls
Study the data and write a case report on the data that includes
statistical analysis. Using modeling or otherwise find out
which restaurants are 1) well established 2) may be popular
3) or both.
In case there is any statistical modeling that is presented please
also include the program, log, etc.