Linear Regression analysis

Nishant Kumbhar

Linear Regression is a fundamental statistical technique widely used for modelling and predicting relationship between variables . This paper presents applicability and performance of linear regression . The study begins with the introduction to linear regression and understanding key concepts related to it. We then proceed towards the formula and equations of regression . To evaluate the effectiveness of linear regression we have included the data set of happiness vs income from Kaggle. Our analysis involve accuracy and predictive power . We have discussed the pros and cons of Linear Regression analysis . We have also assumed the data with minimal error. In conclusion, this paper contributes to understanding regression analysis for beginners and understanding the key concepts related to it

Published Paper   E-Certificate

"Linear Regression analysis ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 9, page no.1267 - 1271, September-2023, Available :https://ijsdr.org/papers/IJSDR2309181.pdf

Volume 8 Issue 9, September-2023

Pages : 1267 - 1271

Paper Reg. ID: IJSDR_208796

Published Paper Id: IJSDR2309181

Downloads: 000347090

Research Area: Engineering

Country: Pune, Maharashtra , India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2309181

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2309181

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition