(Kwik Trend Analysis)
Measure         Value         Future Period         Forecast
Error Measures                 9.         1,362,143.
Bias (Mean Error) Â Â Â Â Â Â Â Â -0.0156 Â Â Â Â Â Â Â Â 10. Â Â Â Â Â Â Â Â 1,455,952.
MAD (Mean Absolute Deviation) Â Â Â Â Â Â Â Â 50,773.7969 Â Â Â Â Â Â Â Â 11. Â Â Â Â Â Â Â Â 1,549,762.
MSE (Mean square up Error) Â Â Â Â Â Â Â Â 3,498,808,832. Â Â Â Â Â Â Â Â 12. Â Â Â Â Â Â Â Â 1,643,572.
Standard Error (denom=n-2=6) Â Â Â Â Â Â Â Â 68,301.3828 Â Â Â Â Â Â Â Â 13. Â Â Â Â Â Â Â Â 1,737,381.
Regression line                 14.         1,831,191.
Demand (y) = 517857.2 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â 15. Â Â Â Â Â Â Â Â 1,925,000.
+ 93,809.5234 * Time (x) Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â 16. Â Â Â Â Â Â Â Â 2,018,810.
Statistics                 17.         2,112,619.
Correlation coefficient         0.9642         18.         2,206,429.
Coefficient of determination (r^2) Â Â Â Â Â Â Â Â 0.9296 Â Â Â Â Â Â Â Â 19. Â Â Â Â Â Â Â Â 2,300,238.
                20.         2,394,048.
                21.         2,487,857.
                       Â
Case- Â Â Â Â Â Â Â Â kwik Lube
Question# 1 rate the loss for Kwik Lube stations during the last two geezerhood using regression. How accurate can the results claim to be?
Question # 2 Was it worth $ 20000 to perform the marketing research?
Question # 3 What otherwise factors might be introduced into the subject?
                                                                       Â
Dick Johnson, an owner of the Kwik lube company, has leased DR. Gunn to file a lawsuit against T.A Williams after he had violate a Franchise contract with Kwik Lube. To file a lawsuit Dr. Gunn was trying to find data about the same manufacturing or a similar one in a location a location resembling the area in which the pilot burner problem occurred. So, Dr.
Gunn decided to collect a data fro LA area. This would require the development of the questionnaire that could determine the total gross piece of cars serviced for fast oil and lubrication business in the Los Angeles area amongst 1980 and 1990.
Answer for # 1 question:
Kwik Lube- Regression Model
               Â
        Demand Y         LA(X)
1 Â Â Â Â Â Â Â Â 680,000 Â Â Â Â Â Â Â Â 220000
2 Â Â Â Â Â Â Â Â 750,000 Â Â Â Â Â Â Â Â 250000
3 Â Â Â Â Â Â Â Â 750,000 Â Â Â Â Â Â Â Â 240000
4 Â Â Â Â Â Â Â Â 780,000 Â Â Â Â Â Â Â Â 260000
5 Â Â Â Â Â Â Â Â 990,000 Â Â Â Â Â Â Â Â 330000
6 Â Â Â Â Â Â Â Â 1,040,000 Â Â Â Â Â Â Â Â 350000
7 Â Â Â Â Â Â Â Â 1,200,000 Â Â Â Â Â Â Â Â 390000
8 Â Â Â Â Â Â Â Â 1,330,000 Â Â Â Â Â Â Â Â 440000
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Created by QM for Windows
The following table...
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