Regression Analysis the Methodology for Research Paper

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It has even moved into the legal and political realms, which focus on its ability to forecast information based on similar or manipulated environmental conditions (Sykes, 2012). It is often used in quantitative research methodologies, but also conserve as a way to test for reliability in mixed methods and qualitative studies using triangulation, or more than one method to prove the same results hold true (Dizikes, 2010). In this, the research suggests that "the investigator assembles data on the underlying variables of interest and employees regression to estimate the quantitative effect of the casual variables upon the variable that they influence" (Sykes, 2012). The type of regression used in any particular situation depends on the number of variables. Simple linear regression focuses on one dependent and one independent variable. From there, more complicated forms of aggression include a greater number of independent variables, like that of multiple regression, which is a more complicated process using more than one independent variable (Sykes, 2012).

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The assumptions involved are quite complex but can be easily used and evaluated for those who are trained to understand its results. Regression analysis helps uncover the "average casual effect" the independent variables have on the dependent upon (Dizikes, 2010). It can be assumed that the results of the regression analysis provide a clear view of the relationship between past and present recorded data involving the two variables. However, regression analysis also allows for very good future forecasting. In this, it is assumed that with environmental conditions remaining the same, researchers can successfully forecast future impacts on the dependent and independent variables. At the same time, manipulating the environmental conditions and data sets to account for changes in the environment can also show potential scenarios that might happen in the event of a change, adjustment, or implementation of a certain policy or stimuli......

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