Sales Prediction using Linear Regression

Swapnil Takale; Tejas Bhong; Umesh Dethe; Paras Gandhi

doi:10.55529/jecnam.25.62.71

Sales Prediction using Linear Regression

https://doi.org/10.55529/jecnam.25.62.71

Authors

Swapnil Takale SKN Sinhgad Collage of Engineering Korti, Pandharpur University Solapur Maharashtra, India.
Tejas Bhong SKN Sinhgad Collage of Engineering Korti, Pandharpur University Solapur Maharashtra, India.
Umesh Dethe SKN Sinhgad Collage of Engineering Korti, Pandharpur University Solapur Maharashtra, India.
Paras Gandhi SKN Sinhgad Collage of Engineering Korti, Pandharpur University Solapur Maharashtra, India.

Keywords:

Linear Regression, Electronics, Computer Networking, Sales Prediction, Statistical Models.

Abstract

The abstract for a Sales Prediction using Linear Regression could summarize the study's objectives, methodology, and key findings. It might highlight the importance of accurate sales forecasts for businesses, the application of linear regression as a predictive model, and insights gained from analyzing historical sales data. The abstract typically provides a concise overview to help reader understand the study at a glance.

Published

2022-09-30

How to Cite

Swapnil Takale, Tejas Bhong, Umesh Dethe, & Paras Gandhi. (2022). Sales Prediction using Linear Regression . Journal of Electronics, Computer Networking and Applied Mathematics , 2(05), 62–71. https://doi.org/10.55529/jecnam.25.62.71