Use the regression and seasonal indexes to forecast demand for the next four quarters. Note: Round your intermediate calculations and answers to 2 decimal places. Period I 11 III IV Forecast (Units)
Q29 please help me!!
The approach known as seasonal linear regression (SLR) uses a linear function to obtain the seasonal prediction. The trend and seasonality patterns that it discovers in the historical data can be taken into account. SLR is frequently expected to produce findings that are more reliable than triple exponential smoothing techniques. As we have explained & worked in excel for the time series data given in the problem, seasonal linear regression is a very potent technique that can also produce results that are more potent than triple exponential smoothing for particular time-series data. Both seasonality and trend are fully captured by the algorithm for the future projection.
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