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Forecasting Seasonal Factors Method Vs. Regression Method With MS Excel

Author

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  • Petru Balogh

    ()

  • Pompiliu Golea

    ()

Abstract

Predicting sales for highly seasonal products is very different compared to products who sell regularly throughout the year. In this paper we analyze the results from the seasonal factors method and from the regression method. The example used will be predicting sales of bottled water in Romania. The sales prediction will be made for the previous year, so that the results can be compared with the actual sales numbers for bottled water. MS Excel software was used due to its accessibility. The authors recommend the regression method.

Suggested Citation

  • Petru Balogh & Pompiliu Golea, 2015. "Forecasting Seasonal Factors Method Vs. Regression Method With MS Excel," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 7(4), pages 18-22, December.
  • Handle: RePEc:khe:journl:v:7:y:2015:i:4:p:18-22
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    More about this item

    Keywords

    Forecasting; Seasonal factor; Regression; Comparative analysis;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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