# Tag: regression analysis

## Applying regression on secondary data using SPSS

By Riya Jain and Priya Chetty on March 10, 2022

This article will explain the application of regression tests on secondary data using SPSS, using the same dataset.

,

## Understanding the correlation and regression analysis values

By Riya Jain and Priya Chetty on August 23, 2021

This article explains the different correlation and regression analysis values that are generated after conducting the tests. Their meaning, importance and how to interpret them are explained here.

, ,

## Application of multivariate regression analysis

By Riya Jain and Priya Chetty on June 9, 2021

This article explores the concept of multivariate regression analysis along with discussing its assumptions and relevance.

, ,

## How to work with a moderating variable in the regression test with SPSS?

By Riya Jain and Priya Chetty on March 6, 2020

Influencing or control variables are said to be a moderating variable and the effect of these interactions is represented as an interaction effect

, ,

## How to work with a mediating variable in a regression analysis?

By Riya Jain and Priya Chetty on March 5, 2020

When the linkage between 2 variables exists through a middle variable. This middle variable is referred to as a mediating variable.

,

## How to process the primary dataset for a regression analysis?

By Riya Jain and Priya Chetty on March 3, 2020

Regression analysis signifies the extent of the relationship between the dependent and independent variables.

## What is the relevance of significant results in regression analysis?

By Riya Jain and Priya Chetty on February 28, 2020

Regression analysis is the statistical measurement which helps in linking the variables and determining the strength of the relationship between them.

,

## Non linear regression analysis in STATA and its interpretation

By Indra Giri and Priya Chetty on February 7, 2017

In the previous article on Linear Regression using STATA, a simple linear regression model was used to test the hypothesis. However the linear regression will not be effective if the relation between the dependent and independent variable is non linear.

, ,