• Sabrina Kazi

Statistical correlation and regression analysis are fundamental tools in data analysis, widely used across various fields to understand relationships between variables and make predictions. This paper provides an in-depth exploration of these methods, including their definitions, applications, strengths, and limitations. Through case studies and examples, it illustrates how correlation measures association between variables, while regression models predict outcomes based on explanatory variables. Practical considerations such as data requirements and software tools are also discussed, highlighting the importance of these techniques in contemporary research and decision-making.

correlation, Regression

"Review Paper on Statistical Correlation and Regression", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 7, page no.h250-h252, July-2024, Available :http://www.jetir.org/papers/JETIR2407732.pdf

"Review Paper on Statistical Correlation and Regression", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 7, page no. pph250-h252, July-2024, Available at : http://www.jetir.org/papers/JETIR2407732.pdf