Applied SPSS for Data Forecasting of Sale Quantity

Aung Si Thu; Aung Cho

Title:
Applied SPSS for Data Forecasting of Sale Quantity

Authors:
Aung Cho | Aung Si Thu

Cite This Article :

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, pp.694-697, URL: https://www.ijtsrd.com/papers/ijtsrd26378.pdf

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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.

Keywords :
SPSS is powerful to analyze business and marketing data, the regression algorithm for data forecasting

Publication Details:

Unique Identification Number : IJTSRD26378

Published In : Volume-3 | Issue-5, August 2019

Page Number(s) : 694-697

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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