Analysis of Factors Affecting Sales Volume in the Tech Industry: A Multiple Regression Approach
This paper examines the factors influencing sales volume among listed tech companies, focusing on key variables such as market demand, stock price, and advertising costs. Using a multiple linear regression model, the study analyzes data from major tech firms, including Microsoft, Apple, and Tesla. T...
Saved in:
| Main Author: | Bai Qishan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
|
| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2024/28/shsconf_dsm2024_04014.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identifying factors affecting the distribution strategy in the food industry with the attitude of marketing and online sales
by: solmaz seyedghafouri, et al.
Published: (2025-03-01) -
SPATIAL ANALYSIS OF HIGH-TECH EXPORTS WITH GEOGRAPHICALLY WEIGHTED REGRESSION
by: Yusuf Kalkan
Published: (2023-11-01) -
Factors Affecting Student Academic Performance: A Combined Factor Analysis of Mixed Data and Multiple Linear Regression Analysis
by: Mohamed El Jihaoui, et al.
Published: (2025-01-01) -
ANALYSIS OF STATE SUPPORT EFFECTIVENESS FOR HIGH-TECH INDUSTRIES
by: I. V. Milkina, et al.
Published: (2020-03-01) -
The Impact of Government Subsidies on Electric Vehicle Sales: A Regression analysis of BYD in China
by: Shan Jierui
Published: (2024-01-01)