%0 Journal Article %1 noauthororeditor %A Thu, Aung Cho | Aung Si %D 2019 %J International Journal of Trend in Scientific Research and Development %K Database Miining SPSS algorithm analyze and business data for forecasting is marketing powerful regression the to %N 5 %P 694-697 %R https://doi.org/10.31142/ijtsrd26378 %T Applied SPSS for Data Forecasting of Sale Quantity %U https://www.ijtsrd.com/computer-science/data-miining/26378/applied-spss-for-data-forecasting-of-sale-quantity/aung-cho %V 3 %X 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 Äpplied 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

@article{noauthororeditor, 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 }, added-at = {2019-09-10T14:49:42.000+0200}, author = {Thu, Aung Cho | Aung Si}, biburl = {https://www.bibsonomy.org/bibtex/239fc87f793690b783b37b1ecbd696b21/ijtsrd}, doi = {https://doi.org/10.31142/ijtsrd26378}, interhash = {4c0b30ff74a3413a1a7226bc618cd01f}, intrahash = {39fc87f793690b783b37b1ecbd696b21}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {Database Miining SPSS algorithm analyze and business data for forecasting is marketing powerful regression the to}, language = {English}, month = aug, number = 5, pages = {694-697}, timestamp = {2019-09-10T14:49:42.000+0200}, title = {Applied SPSS for Data Forecasting of Sale Quantity }, url = {https://www.ijtsrd.com/computer-science/data-miining/26378/applied-spss-for-data-forecasting-of-sale-quantity/aung-cho}, volume = 3, year = 2019 }