Company sells devices which are capable of efficiently turning solar power into usable and efficient energyfor consumers. They have provided the last five years of monthly sales figures and are looking to generate a forecasting technique which will project sales into the future with the minimum amount of error.

Note The first data point represents sales for the month of January in the first year.

1. Create a line plot to evaluate the properties of the monthly sales data. Provide a comment on the general properties of the sales data.

2. Create a 3-period moving average forecast (MA3).

3. Create an exponential forecast. Use a smoothing constant alpha = 0.2

4. Create a linear trend forecast.

5. Evaluate each of the forecasting techniques by comparing mean absolute error (MAE), the root- mean square error (RMSE), and the mean absolute percentage error (MAPE).

6. Provide a summary of your findings, to include anassessment of the best forecasting technique for this company.

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