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Why is it important to test heteroskedasticity in a dataset?

By Riya Jain and Priya Chetty on March 23, 2020 2 Comments

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.

 regression analysis, research data analysis

Why conduct a multicollinearity test in econometrics?

By Riya Jain and Priya Chetty on March 19, 2020 No Comments

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.

 regression analysis, research data analysis

How to test normality statistically?

By Riya Jain and Priya Chetty on March 16, 2020 No Comments

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

 regression analysis, research data analysis

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

By Riya Jain and Priya Chetty on March 6, 2020 No Comments

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

 analyse with SPSS, regression analysis, research data analysis

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

By Riya Jain and Priya Chetty on March 5, 2020 No Comments

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

 regression analysis, research data analysis

How to process the primary dataset for a regression analysis?

By Riya Jain and Priya Chetty on March 3, 2020 No Comments

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

 regression analysis, research data analysis

What is the relevance of significant results in regression analysis?

By Riya Jain and Priya Chetty on February 28, 2020 No Comments

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

 regression analysis, research data analysis

Non linear regression analysis in STATA and its interpretation

By Indra Giri and Priya Chetty on February 7, 2017 1 Comment

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.

 regression analysis, result interpretation, STATA for data analysis
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