Suppose that \(Y_{t}\) follows a stationary \(\operatorname{AR}(1)\) model with \(\beta_{0}=0\) and \(\beta_{1}=0.7\). If \(Y_{t}=5\), what is your forecast of \(Y_{t+2}\) ? That is, what is \(Y_{t+2 \mid t}\) ? What is \(Y_{t+h \mid t}\) for \(h=30\) ? Does this forecast for \(h=30\) seem reasonable to you?