Granger causality test is used to determine if one time series will be useful to forecast another variable by investigating causality between two variables in a time series. The method is a probabilistic account of causality; it uses observed data sets to find patterns of correlation.
Let the data speak! Let us purge a-priori expectations.
In this article, we will learn what variables are, how to declare and name them, the difference between var, let, and const, and the significance of global and local scope.