The following is the list of mean absolute deviation (MAD)statistics for each of the models you have estimated from time-series data: $$\begin{array} { | l | c | }
\hline \text { Model } & \text { MAD } \
\hline \text { Linear Trend } & 1.38 \
\text { Quadratic Trend } & 1.22 \
\text { Eigdonental Trend } & 1.39 \
\text { Autorepressive(2) } & 0.71 \
\hline
\end{array}$$ Based on the MAD criterion,the most appropriate model is
A) linear trend
B) quadratic trend
C) exponential trend
D) autoregressive(2)

Question

The following is the list of mean absolute deviation (MAD)statistics for each of the models you have estimated from time-series data: $$\begin{array} { | l | c | } 
\hline \text { Model } & \text { MAD } \
\hline \text { Linear Trend } & 1.38 \
\text { Quadratic Trend } & 1.22 \
\text { Eigdonental Trend } & 1.39 \
\text { Autorepressive(2) } & 0.71 \
\hline
\end{array}$$ Based on the MAD criterion,the most appropriate model is
A) linear trend
B) quadratic trend
C) exponential trend
D) autoregressive(2)

Quizplus · Accepted Answer

The autoregressive(2) model has the lowest MAD value, indicating that it has the least deviation from the observed data points. Therefore, it is the most appropriate model for this time-series data based on the MAD criterion.

The Following Is the List of Mean Absolute Deviation (MAD)statistics