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Regression analysis - Statistics Project Example

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In order to identify the best model, a series of regressions were conducted. Model (1) has int as the only explanatory variable, model (2) has int and duration as the explanatory variables, model (3) has int and age as the explanatory variables, model (4) has duration and age as the explanatory variables and lastly, model (5) has all the three explanatory variables included in the model.
From the above table, it is clear that the variable duration is an irrelevant variable in the model since addition of this particular variable in model (2) resulted to a decrease in the value of the adjusted R-squared from 0.5276 to 0.5271; this is a clear indication that variable, duration is not worth being included in the model. It is therefore evident that the best model is model (3) with the highest value of the adjusted ...Show more
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To build a model that would predict the dependent variable we need to have an generalized linear model where we use multiple regression. The…
Regression analysis project
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