Sample Essay on:
Regression Analysis use to Calculate Future Prescriptions Expenditure

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Essay / Research Paper Abstract

This 5 page paper looks at the cost of Medicaid prescriptions and uses regression analysis to try to forecast the future costs. When looking at this in terms of a yearly pattern the paper looks at other potential influences such as inflation, population levels and unemployment levels to find the best correlation. The bibliography cites 2 sources.

Page Count:

5 pages (~225 words per page)

File: TS14_TEregdrug.rtf

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Unformatted sample text from the term paper:

factors for example the weather; ice cream sales will increase in the summer and boots will sell more in the winter. Other insurance may be anything form fashion to health. In looking at the expenditure in health care on prescription drugs the increasing amount spend can be examined and regression analysis used to project this forward. In this paper the amount spent on prescriptions under Medicaid is examined, using the figures from the last ten years we can use regression analysis to pry and predict the future performance of the costs and also try and find reasons for the increases. Regression analysis makes use of the past results to use the data to project forwards. The information we have is from the years 1992 - 2001, using this we can project forward for later years. This gives use the following Table 1; Prescription costs (Nick, 2001). As this uses the calculation of the least squares the initial projection shows that in 2002 it was projected that the costs would fall, this was due to the large leap seen in 2001 over 2000, and as such the decrease may be an anomaly. However, now we need to consider why there is this cost increase, there are many factor we can look for to account for this increase. Costs for any good will increase each year as a result of inflation, as such the first relationship we may seek to show is that of a correlation with inflation, here we will use the consumer price index. If we look at the inflation rates and how they reflect on the consumer price index as seen in table 2 . Table 2 Inflation rates 1992 - 2001 (Economagic, 2003). Looking at this there is ...

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