Applied SPSS for Data Forecasting of Sale Quantity

Abstract

SPSS is powerful to analyze business and marketing data. This paper intends to support business and marketing leaders the benefits of data forecasting with applied SPSS. It showed the sale quantity forecasting based on unit price and advertising. As SPSS's background algorithms, it showed the regression algorithm for data forecasting and ANOVA algorithm for data significant. It includes one sample data was downloaded from Google and was analyzed and viewed. It used IBM SPSS statistics version 23 and PYTHON version 3.7. Aung Cho | Aung Si Thu "Applied SPSS for Data Forecasting of Sale Quantity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26378.pdfPaper URL: https://www.ijtsrd.com/computer-science/data-miining/26378/applied-spss-for-data-forecasting-of-sale-quantity/aung-cho

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  • EP ID EP628408
  • DOI 10.31142/ijtsrd26378
  • Views 90
  • Downloads 0

How To Cite

(2019). Applied SPSS for Data Forecasting of Sale Quantity. International Journal of Trend in Scientific Research and Development, 3(5), 694-697. https://europub.co.uk/articles/-A-628408