You are in the process of completing a study of the causes of cyberbullying. You ran...
You are in the process of completing a study of the causes of cyberbullying. You ran two OLS regression models to guide your analysis. In model 1, your adjusted R2 was .46 with 7 predictor variables. In model 2, your adjusted R2 was .33 with 9 predictor variables? Knowing nothing else, which model do you use when discussing your results? Why?
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Homework Answers
The adjusted R-squared compares the explanatory power of regression models that contain different numbers of predictors, it means if we add significant variables to the model, it will increase or else it will decrease.
Model 1 has 7 predictors, after adding 2 predictors the value of adjusted R2 has decreased, which implies that the added variables are not significant to the model.
Hence, it is better to use Model 1.
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