*This article explains the basic concepts and explains how we can do linear regression calculations in SPSS and excel.*

The techniques for testing the relationship between two variables are correlation and linear regression.

Correlation quantifies the strength of the linear relationship between a pair of variables, whereas regression expresses the relationship in the form of an equation.

Regression analysis allows predicting the value of a dependent variable based on the value of at least one independent variable.

In correlation analysis, the correlation coefficient “r” is a dimensionless number whose value ranges from −1 to 1.

For example, to know whether the likelihood of having high systolic BP (SBP) is influenced by factors such as age and weight, linear regression would be used.

The variable to be explained, i.e., SBP is called the dependent variable, or alternatively, the response variables that explain it age, weight, and sex are called independent variables. Armonk, NY: IBM Corp.) in five steps to analyze data using linear regression.In this article, we have used simple examples and SPSS and excel to illustrate linear regression analysis and encourage the readers to analyze their data by these techniques. Conflicts of interest There are no conflicts of interest.Keywords: Continuous variable test, excel and SPSS analysis, linear regression How to cite this URL: Kumari K, Yadav S. J Pract Cardiovasc Sci [serial online] 2018 [cited 2019 Sep 7];-6. 2018/4/1/33/231939The concept of linear regression was first proposed by Sir Francis Galton in 1894.Linear regression is a statistical procedure for calculating the value of a dependent variable from an independent variable.Linear regression measures the association between two variables.A value toward −1 indicates inverse or negative relationship, whereas towards 1 indicate a positive relation.When there is a normal distribution, the Pearson's correlation is used, whereas, in nonnormally distributed data, Spearman's rank correlation is used.This may be understood as how the risk factors or the predictor variables or independent variables account for the prediction of the chance of a disease occurrence, i.e., dependent variable.Risk factors (or dependent variables) associate with biological (such as age and gender), physical (such as body mass index and blood pressure [BP]), or lifestyle (such as smoking and alcohol consumption) variables with the disease.It is a modeling technique where a dependent variable is predicted based on one or more independent variables.Linear regression analysis is the most widely used of all statistical techniques.

## Comments Linear Regression Research Paper

## PDF A Study on Multiple Linear Regression Analysis

Mar 21, 2019. In this study, data for multilinear regression analysis is occur from. 15+ million members; 118+ million publications; 700k+ research projects.…

## STATISTICS METADATA LINEAR REGRESSION ANALYSIS.

FfiM Almaden Research Center. San Jose, California. This paper deals with statistics metadata in the context of estimating the parameters and analysis of. statistics metadata can play in real time linear regression analysis. The paper also.…

## A study of English reading ability based on multiple linear.

Journal of Chemical and Pharmaceutical Research, 2014, 661870-1877. the multiple linear regression models, a way of improving English reading ability by. This paper seeks ways of improving reading ability for English learners.…

## Linear regression analysis study Kumari K, Yadav S - J Pract.

May 4, 2018. Linear regression measures the association between two variables. In biomedical or clinical research, the researcher often tries to.…

## Where can I find research papers on linear regression? - Quora

Linear Regression is a basic statistical technique you are interested in understanding Linear regression then you can use google to explore.…

## Linear Regression Analysis to Study. - CiteSeerX

Linear regression analysis applied to transportation and logistics, this paper will refer to. research. Since distribution costs are considered directly related with.…

## Correlation and Simple Linear Regression

Regression. 1. In this tutorial article, the concepts of correlation and regression are reviewed and demonstrated. Pearson correlation coefficient and the Spearman, for measuring linear and non-. commonly in radiology research, are re-.…

## A Multiple Linear Regression Approach For Estimating. - arXiv

In this paper, multiple linear regression was used and market value of. In this research it has salaries of NBA players' as dependent variable likely, for our.…