Examples of using Linear regression in English and their translations into Hungarian
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Colloquial
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Computer
This type of relationship is called linear regression.
When do you use Linear Regression?
This is called Multi-Variate Linear Regression.
When to use Linear Regression?
Descriptive statistics and linear regression were used.
Linear regression model is one of the simplest yet most used statistical methods.
Linear Regression is one of the easiest algorithms in machine learning.
For example, let us consider Linear Regression(LR) which is an example of a statistical model.
The linear regression equation is.
Linear regression is the simplest form of regression. .
A linear regression is one of the easiest statistical models in machine learning.
Linear regression is perhaps the most commonly used statistical model in practice.
Linear regression is one of the most commonly used statistical modeling technique.
Linear regression is without doubt the most frequently used statistical method.
The form of this standard multiple linear regression model would be.
Linear regression is one of the simplest machine learning techniques you can use.
Linear regression is one of the most important machine learning tools.
The multiple linear regression model was defined as follows.
Linear Regression.
Multiple linear regression model is as follows.