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The sales figures of a bicyde retailer in a city are given following Forecast sales using Naive method and find the root mean square error.
The sales figures of a bicyde retailer in a city are given following
Forecast sales using
- Naive method and find the root mean square error. (1+2)
- Three month moving average method and find the root mean square error. (2+2)
- Exponential smoothening constant method using a smoothening constant = 0.2
\begin{tabular}{|c|c|} \hline Period & \begin{tabular}{c} No of \\ bicycles sold \end{tabular} \\ \hline Dec-20 & 100 \\ \hline Jan-21 & 110 \\ \hline Feb-21 & 150 \\ \hline Mar-21 & 200 \\ \hline Apr-21 & 225 \\ \hline May-21 & 200 \\ \hline Jun-21 & 175 \\ \hline \end{tabular}
The sales figures of a bicyde retailer in a city are given following
Forecast sales using
- Naive method and find the root mean square error. (1+2)
- Three month moving average method and find the root mean square error. (2+2)
- Exponential smoothening constant method using a smoothening constant = 0.2
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