The actual and forecast values of a time series are shown below. $$\begin{array} { | c c | }
\hline \text { Actual values } y _ { t } & \text { Forecast values } F _ { t } \
\hline 2325 & 2330 \
2555 & 2595 \
2835 & 2860 \
3185 & 3125 \
3510 & 3390 \
\hline
\end{array}$$ a. Calculate the mean absolute deviation (MAD).
b. Calculate the sum of squares for forecast error (SSE).

Question

The actual and forecast values of a time series are shown below. $$\begin{array} { | c c | } 
\hline \text { Actual values } y _ { t } & \text { Forecast values } F _ { t } \
\hline 2325 & 2330 \
2555 & 2595 \
2835 & 2860 \
3185 & 3125 \
3510 & 3390 \
\hline
\end{array}$$ a. Calculate the mean absolute deviation (MAD).
b. Calculate the sum of squares for forecast error (SSE).

Quizplus · Accepted Answer

The Answer of The actual and forecast values of a time series are shown below. $$\begin{array} { | c c | } 
\hline \text { Actual values } y _ { t } & \text { Forecast values } F _ { t } \
\hline 2325 & 2330 \
2555 & 2595 \
2835 & 2860 \
3185 & 3125 \
3510 & 3390 \
\hline
\end{array}$$ a. Calculate the mean absolute deviation (MAD).
b. Calculate the sum of squares for forecast error (SSE).

The Actual and Forecast Values of a Time Series Are