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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?

  1. Moving average will forecast a higher value compared to regression.
  2. Higher the value of order $N$, the greater will be the forecast value by moving average.
  3. Exponential smoothing will forecast a higher value compared to regression.
  4. Regression will forecast a higher value compared to moving average.
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