Uploaded February 2025 | Updated September 2026, 6 hours ago
Multicollinearity in regression occurs when two or more independent variables are highly correlated with each other, making it difficult to determine the individual effect of each predictor on the dependent variable. It can inflate the variance of coefficient estimates and make the regression results unstable and difficult to interpret.
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Multicollinearity in regression occurs when two or more independent variables are highly correlated with each other, making it difficult to determine the individual effect of each predictor on the dependent variable. It can inflate the variance of coefficient estimates and make the regression results unstable and difficult to interpret.
► E-BOOK
numiqo.com/statistics-book
► Regression Calculator
numiqo.com/statistics-calculator/regression
► Playlist:
1) What is a Regression Analysis?
youtu.be/-JTKf-a1JpU
2) What is Simple Linear Regression?
youtu.be/gPfgB4ew3RY
3) What is Multiple Linear Regression?
youtu.be/i3IadpjctWg
4) What is Logistic Regression?
youtu.be/Ax5kqLHls-I
► Tutorials:
Regression Analysis
numiqo.com/tutorial/regression
Linear Regression
numiqo.com/tutorial/linear-regression
Logistic Regression
numiqo.com/tutorial/logistic-regression
![Likert-Scale [Simply Explained]](https://i.ytimg.com/vi/Tf_71r1Ve5w/mqdefault.jpg "Likert-Scale [Simply Explained]
Why do we need a Likert scale? Lets assume you have formulated a hypothesis in which a variable that cannot be measured directly, a so-called latent variable, occurs. So how do you measure this variable in your questionnaire?
Latent variables are, for example, physical well-being or environmental awareness. Why are these variables not directly measurable? Of course, you could simply ask in your questionnaire, What is your level of environmental awareness?
However, you will find it very difficult or very inaccurate to measure environmental awareness with just this one question, because environmental awareness consists of several dimensions.
In order to be able to adequately measure latent variables such as environmental awareness, likert scales are now used.
https://numiqo.com/tutorial/likert-scale")
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A hierarchical cluster analysis is a clustering method that creates a hierarchical tree or dendrogram of the objects to be clustered. The tree represents the relationships between objects and shows how objects are clustered at different levels.
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