Regression Analysis of Research Data using R Programming

Authors

  • Yagyanath Rimal Pokhara University, Lekhnath

DOI:

https://doi.org/10.37591/rtpl.v6i2.2236

Abstract

ABSTRACT

The goal of the review paper is discussing the relationship between various types of regression analysis whose output was sufficiently analyzed using R programming. The primary purpose of this paper is to explain the relationship of linear, multiple, quantile and polynomial regression models to achieve final conclusion with different data sets. Therefore, this paper presents the easiest way of regression analysis commands and R programming strengths for of data analysis. 

Keyword:  Data Analytics; Linear, Quantile, Polynomial, Big Data; Regression Equation.

Cite this Article

Yagyanath Rimal. Regression Analysis of Research Data using R Programming. Recent Trends in Programming Languages. 2019; 6(2): 42–50p.

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Published

2019-09-03

Issue

Vol. 6 No. 2 (2019)

Section

Research Articles

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