This section contains two unrelated topics. We begin by looking at multicollinearity, a problem where the explanatory variables are highly correlated. Presence of multicollinearity makes it difficult to estimate individual beta parameters. Forecasting will allow us to predict the value of the dependent variable for given values of the explanatory variables even when the observation is not part of our sample.