Sales data of a product is given in the following table:
$\begin{array}{|l|l|l|l|l|l|} \hline \textbf{Month} & \text{January} & \text{February} & \text{March} & \text{April} & \text{May} \\ \hline \textbf{Number of units sold} & 10 & 11 & 16 & 19 & 25 \\ \hline \end{array}$
Regarding forecast for the month of June, which one of the following statements is TRUE?
- Moving average will forecast a higher value compared to regression.
- Higher the value of order $N$, the greater will be the forecast value by moving average.
- Exponential smoothing will forecast a higher value compared to regression.
- Regression will forecast a higher value compared to moving average.