Some Important Notes for Regression Analysis
Regression Analysis provides information on the functioning of a dependent or response variable in relation to other variables or factors which are changed or modified in a constant manner such that the response variable can be analyzed. Regression Analysis depicts the behavior of the dependent variable which is present and controlled in relation to independent variables, which tend to vary and cannot be controlled. How the effect of these independent variables influence the dependent variable in a certain manner is analyzed and predicted using Regression Analysis. There are several types of Regression Analysis like that which brings out the linear relationship in terms of any increase in independent variable corresponds with a similar increase in dependent variable, another where the dependent variable is binary and is called logistic regression and that which is called step wise regression involving many independent variables such that the effect of each on the dependent variable is analyzed and concluded with.
What Are Difficulties Encountered In Regression Analysis Problems?
Sometimes the choice of the dependent and independent variables, when done for the convenience of the researcher will lead to bias, which is the problem in such forms of Regression Analysis. With Regression Analysis being used in many computer models nowadays, though the student may find it easier to use such models, data input in those models is again a problem which they may encounter confusions with positioning of the dependent and independent variables. Therefore, students should be aware of the differences between the allocation of positions for dependent and independent variables. The choice of the dependent and independent variables which will ultimately influence the Regression Analysis inputs need to be done under supervision by students, as they may make errors in judgment.
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