Why is it true that the more independent variables you include in your regression the more rich and varied your dataset must be?
The more rich and varied a dataset is, it will have more things hidden in it. This variety in the dataset makes things lesser simpler. Better models are needed to explain the variety in the data. The influence of many factors adds in to the richnes of the data. Only identifying these factors and finding variables which will capture these factors is going to include the richness of the data in the model we build. So these variables should be added into the model to fully explain the dataset
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