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Essay / Research Paper Abstract
This 5 age paper is written in two parts. The first part of the paper looks at how and when a multiple regression analysis can be used, if it can be performed with only two data sets and what would need to be added into the equation to undertaken a multiple regression analysis. The second part of the paper considers if it is possible to predict the price for a stock of share given only the market index such as the Dow Jones Industrial Average, DJIA, this could be equally applied to other indices such as the FTSE. The bibliography cites 5 sources.
Page Count:
5 pages (~225 words per page)
File: TS14_TEmultreg.rtf
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Unformatted sample text from the term paper:
the Dow Jones Industrial Average (DJIA) and Cardinal Health (CAH). The data may be used in order to try and establish whether ort jot a correlation exists, but with only
two sets of data it is not possible to perform a multiple regression analysis. To understand why this is not possible and consider what is needed for a multiple regression
analysis to be enabled we need to consider what a multiple regression is and how it is performed. Multiple regressions are a
complex analysis method that may be seen as an extension of correlation analysis. And can be used in order to assess the predictive ability of one series of independent
against a continuous dependant measure (Pallant, 2004). In reality multiple regression is not a single technique but a collection of techniques that may be ultised to explore the
correlation between a continuous dependant variable and the independent variables or predictors which are also usually continuous. Multiple regression is so named, and more complex as it allows the examination
of the relationship and interaction of a number of sets of variables (Tabachnick and Fidell, 1996). This means it is a technique that is more suited to complex environments where
there are numbers of influencing factors (Tabachnick and Fidell, 1996). This means it will take more that just a one dependant and
one independent variable sets of data as this is a straightforward regression rather than a multiple regression as there is not the relationship of the dependant on a number of
independent variables to measures. If the student wants to look at a way of undertaking a multiple regression analysis then this will
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