For modeling cause-effect relationships, linear regression is among the most typically used methods. Take, for example, the idea that the Gross Domestic Product (GDP) drives religiosity. Of course, we should have a strong theory that defends this choice and this directionality. Without a convincing theory it may be argued that the cause-relationship is the other way round or complete different (ie., some third variable accounts for any association between GDP and …