# The Sales Prediction of ABCtronics’ based on the Multi-factorial Linear Model in Terms of Variance Inflation Factor

### Zheming Cao, Sheng Luo

#### 2022

#### Abstract

To make the prediction of ABCtronics’ sales, the multi-factorial linear model is used. In terms of variance inflation factor, a linear regression model can be set up by Minitab for us to analyze and predict the ABCtronics’ sales. Based on the approach, the estimated multiple regression equation is derived for sales volume with respect to total market demand, price per chip, and economic situation. According to the analysis, the total market variable is not statistically significant at the 5% significance level. These results shed light on processing a more precise prediction by using multi-factorial linear model in terms of variance inflation factor.

Download#### Paper Citation

#### in Harvard Style

Cao Z. and Luo S. (2022). **The Sales Prediction of ABCtronics’ based on the Multi-factorial Linear Model in Terms of Variance Inflation Factor**. In *Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,* ISBN 978-989-758-593-7, pages 587-591. DOI: 10.5220/0011194700003440

#### in Bibtex Style

@conference{bdedm22,

author={Zheming Cao and Sheng Luo},

title={The Sales Prediction of ABCtronics’ based on the Multi-factorial Linear Model in Terms of Variance Inflation Factor},

booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},

year={2022},

pages={587-591},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0011194700003440},

isbn={978-989-758-593-7},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,

TI - The Sales Prediction of ABCtronics’ based on the Multi-factorial Linear Model in Terms of Variance Inflation Factor

SN - 978-989-758-593-7

AU - Cao Z.

AU - Luo S.

PY - 2022

SP - 587

EP - 591

DO - 10.5220/0011194700003440