Examples of using Multiple regression model in English and their translations into French
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The multiple regression model allows for that.
Then we can run the multiple regression model.
The Multiple Regression Model includes more than one independent variable.
The Advantages& Disadvantages of a Multiple Regression Model.
The multiple regression model in matrix notation then can be expressed as.
This is the general form that is most often called the multiple regression model.
The multiple regression model can be used to make predictions about the dependent variable.
Multicollinearity is a problem that can occur within a multiple regression model.
Multiple regression models will be used to evaluate the determinants of the biomarker.
When acidic lakes were systematically removed from the multiple regression model, r2 tended to increase.
The multiple regression model and the assumption of conditional mean independence.
However, this introduces a new problem,as the degrees of freedom then increase in the multiple regression model.
A weighted stepwise multiple regression model explained 65% of the variation in biomass.
Multivariate Relationships 8.30 The next aspect of the analyses involved the development of multiple regression models.
For valuation purposes, one multiple regression model will be developed for each market area.
The studies were carried out using different statistical approaches,including ordination techniques and multiple regression models.
The multiple regression model and the ANOVA I model are also studied in a Bayesian framework.
For a model with several variables, such as a multiple regression model, the adjusted R2 is a better coefficient of determination.
Multiple regression models were then used to develop a 100 year long(1895-1994) reconstruction of summer(July-September) air temperatures.
Now that the dietitian knows that there is a relationship,the dietitian can build a multiple regression model to predict average calories.