Tag: correlation

By Abhinash Jena on March 5, 2026 No Comments

Most business leaders have experienced a bold initiative launched with confidence, only to watch it unravel in execution. The revenue targets were ambitious but achievable. The timeline was aggressive but realistic. Yet somehow, six months later, the project is over budget, behind schedule, and delivering only a fraction of the promised benefits. Business expectations are […]

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By Riya Jain & Priya Chetty on August 23, 2021 1 Comment

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.

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By Riya Jain & Priya Chetty on June 9, 2021 1 Comment

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

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By Riya Jain & 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.

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By Riya Jain & Priya Chetty on March 5, 2020 1 Comment

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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By Riya Jain & Priya Chetty on February 27, 2020 No Comments

Correlation refers to the extent of a relationship between the variables. In order to determine this relationship, it is essential to establish a correlation between the variables.

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By Riya Jain & Priya Chetty on September 19, 2019 3 Comments

Correlation is a statistical measure that helps in determining the extent of the relationship between two or more variables or factors.

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By Rashmi Sajwan & Priya Chetty on October 22, 2018 7 Comments

This article shows a testing serial correlation of errors or time series autocorrelation in STATA. Autocorrelation problem arises when error terms in a regression model correlate over time or are dependent on each other.

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