## Why is it important to test heteroskedasticity in a dataset?

By Riya Jain and Priya Chetty on March 23, 2020

Heteroskedasticity refers to the state of systematic changes in the spread of residuals or the error term of the model. The presence of heteroskedasticity leads to violation of the assumption of the ordinary least square.

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## Why conduct a multicollinearity test in econometrics?

By Riya Jain and Priya Chetty on March 19, 2020

A multicollinearity test helps to diagnose the presence of multicollinearity in a model. Multicollinearity refers to a state wherein there exists inter-association or inter-relation between two or more independent variables.

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## How to test normality statistically?

By Riya Jain and Priya Chetty on March 16, 2020

Data scientists strictly prefer to test normality and work on normally distributed data because of its benefits.

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## 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

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## 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.

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## 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.

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## 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.

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## 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.

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