Examples of 'regression model' in a sentence
Meaning of "regression model"
A regression model is a statistical tool used to analyze the relationship between a dependent variable and one or more independent variables. It helps identify and quantify the impact of independent variables on the dependent variable and predicts future outcomes or trends based on historical data
How to use "regression model" in a sentence
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Advanced
regression model
The regression model was developed in four stages.
The multiple logistic regression model was used.
A regression model for solving economic problems.
In this case the regression model becomes.
Case of polytomous covariates in a logistic regression model.
A linear regression model is fitted to the data.
The main method used is regression model.
A simple linear regression model therefore was assumed.
Estimated based on a random coefficient regression model.
The logistic regression model is build as follows.
Consider classical linear multiple regression model.
Logistic regression model with these variables.
All variables were included in the regression model.
Linear regression model for assessment of uncertainties measurement.
You can run a linear regression model.
See also
A logistic regression model was developed to estimate postfire survival.
P is the number of coefficients in the regression model.
A simple linear regression model was used.
The regression model of this plot is presented below.
A confidence region about the regression model.
Next a logistic regression model was constructed.
Said mathematical model could be a regression model.
Logistic regression model used for the analysis.
Test the utility of this regression model.
Logistic regression model was used to determine independent predictors.
Example to build your first regression model.
Hierarchical regression model is adopted to test the hypotheses.
The negative binomial regression model.
The regression model gave changes in almost every case.
If you have a regression model like.
These variables were not included in the regression model.
Of the simple regression model and.
All variables were tested by simple logistic regression model.
In this paper the regression model has been used.
This is the variation explained by the regression model.
Develop a multiple regression model to predict the score.
Film choice was a reliable factor on the regression model.
Logistic regression model adjusted for randomisation stratification variables.
Practical analysis of final regression model.
The logistic regression model controlled for these variables.
Choosing the best regression model.
The linear regression model is a very simple regression model.
An analysis of residues in the linear regression model was performed.
A simple linear regression model was used to obtain a predictor model.
You have seen the logistic regression model.
The multivariate regression model was adjusted through a stepwise method.
All variables were simultaneously entered in the regression model.
Our proposed regression model is.
Specification and estimation of the linear regression model.
We used a logistic regression model to evaluate independent risk factors.
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Examples of using Regression
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Your regression models are the stuff of legend
Inhibition results in the regression of prostatic tumours
Regression analysis was used to estimate this effect
