Prediction

The correlation between the explanation of model's behaviours and its validity in prediction is an important aspect of statistical analysis. Learning the difference between prediction and explanation is a critical aspect for researchers.  

Resource: To Explain or to Predict? (Galit Shmueli – Statistical Science) 

Type: Journal article 
Who it’s for: Anyone who produces or consumes statistical knowledge is well-served by reading this helpful comparison between explanatory and predictive goals. 
Why we love it: This article provides a refreshing and valuable look into the differences between statistical models with high explanatory and high predictive power.