Examples of 'linear regression' in a sentence
Meaning of "linear regression"
A statistical analysis technique used to model the relationship between two or more variables in a linear equation, commonly used for prediction and trend analysis
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- A linear equation for deriving a single predicted value from one or more known explanatory values.
How to use "linear regression" in a sentence
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linear regression
Dashed line is the linear regression line.
Linear regression was used on all appropriate data.
You can run a linear regression model.
Linear regression has many practical uses.
This was our linear regression data model.
Linear regression is an example of parametric machine learning.
In the earlier classical linear regression formulation.
A linear regression model is fitted to the data.
The trend is based on linear regression analysis.
In linear regression analysis the corresponding formula is.
This could be done using linear regression techniques.
Linear regression can be used in assessing risk.
To do this we used multiple linear regression models.
Multiple linear regression methods are explored.
We estimate this model with linear regression.
See also
It is similar to linear regression and logistic regression.
So outliers are particularly bad for linear regression.
So linear regression does not have this ability.
Now let us talk about linear regression.
A simple linear regression model therefore was assumed.
The analysis we used is the linear regression.
A linear regression function may also be considered.
This technique is known as multiple linear regression.
Linear regression was used to draw the line.
Besides the methods of the linear regression.
Linear regression is a very powerful technique that.
We consider more particularly linear regression models.
Learn linear regression and logistic regression.
The chart above shows a linear regression.
Simple linear regression allows us to find the.
This calibration curve was determined by linear regression.
Linear regression model for assessment of uncertainties measurement.
Each calibration curve was determined by linear regression.
Linear regression requires the data to be approximately linear.
Correlation statistics was done using linear regression analysis.
Simple linear regression by country was conducted.
The curve was obtained by means of linear regression.
The residues of linear regression were evaluated for normality.
It is used in some forms of non linear regression.
Several linear regression analyses were performed.
Ratios are converted to absolute amounts by linear regression.
Phylogenetic signal and linear regression on species data.
Logistic regression is a special condition of linear regression.
Relationship with linear regression models.
Linear regression is a standard tool from linear analysis.
The values were calculated by using linear regression.
Linear regression is the predominant empirical tool in economics.
The binding value was calculated by linear regression.
Linear regression for classification problems.
The most widespread technique is linear regression.
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