A Predictive Study of Consumer Spending Patterns Based on Income and Education Levels

Consumer spending is influenced by multiple factors, among which income and education are often considered significant. This paper investigates the relative impact of income and education on consumer expenditure using regression analysis. A dataset of 1,000 individuals is analyzed, revealing that while income correlates with spending, education demonstrates stronger predictive power. The results underscore the necessity of incorporating socio-economic dimensions into models of consumer behaviour.

Authors

Institutions

Publication Details

Journal
International Journal of Innovative Research in Engineering & Management
Published
2025-05-01
DOI
https://doi.org/10.55524/ijirem.2025.12.2.18
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Predictive Study of Consumer Spending Patterns Based on Income and Education Levels

Shweta Sinha
International Journal of Innovative Research in Engineering & Management
Impact of AI and Big Data on Business and Society
article

A Predictive Study of Consumer Spending Patterns Based on Income and Education Levels

Shweta Sinha
article en

Abstract

Consumer spending is influenced by multiple factors, among which income and education are often considered significant. This paper investigates the relative impact of income and education on consumer expenditure using regression analysis. A dataset of 1,000 individuals is analyzed, revealing that while income correlates with spending, education demonstrates stronger predictive power. The results underscore the necessity of incorporating socio-economic dimensions into models of consumer behaviour.

International Journal of Innovative Research in Engineering & ManagementVol. 12(2)
Amity University (AE)
Openalex Percentile: Top 85%
Impact of AI and Big Data on Business and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Predictive Study of Consumer Spending Patterns Based on Income and Education Levels — Shweta Sinha · International Journal of Innovative Research in Engineering & Management (2025) | TGRS Research Map | TGRS