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Thesis using linear regression

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If your dissertation or thesis research question resembles this, then the analysis you may want to use is a logistic regression. Logistic regression is a statistic that allows group membership to be predicted from predictor variables, regardless of whether the predictor variables are continuous, discrete, or a combination of both. In the example above, the group to which we are trying to predict membership is "librarians". The predictor variables are age, marital status, glasses, and favorite color. Why would research want to predict such group membership?
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Procedure and interpretation of linear regression analysis using STATA

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Linear regression analysis using SPSS

Regression analysis is a quantitative research method which is used when the study involves modelling and analysing several variables, where the relationship includes a dependent variable and one or more independent variables. In simple terms, regression analysis is a quantitative method used to test the nature of relationships between a dependent variable and one or more independent variables. The formulae for regression equation would be. Do not be intimidated by visual complexity of correlation and regression formulae above. Linear regression analysis is based on the following set of assumptions:. Assumption of linearity.
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Regression analysis entails the identification of the relationship between a given dependent variable and other independent variables. A hypothesized model of the relationship together with estimates of the variable values is used to form an approximated regression equation. When the model is satisfactory after being tested, it can be utilized to forecast the figures of the dependent variable once given those of the independent variable.
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