Examples of 'predictor variables' in a sentence
Meaning of "predictor variables"
predictor variables: In statistics and research, predictor variables are factors or variables used to predict or estimate the value or outcome of another variable. They are independent variables that are hypothesized to have an impact on the dependent variable being studied.
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- plural of predictor variable
How to use "predictor variables" in a sentence
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predictor variables
Independent variables are sometimes referred to as predictor variables.
One or more predictor variables comprise the set.
This space has as many dimensions as predictor variables.
All important predictor variables and outcomes were explicitly specified.
Independent variables are also known explanatory or predictor variables.
Predictor variables initially selected.
Only useful with a small number of predictor variables.
None of the other predictor variables significantly contributed to the model.
Both variables studied proved to be significant predictor variables of school achievement.
Many of the predictor variables would require longer periods to fully manifest.
The occurrence of interactions between predictor variables in the regression model.
All the predictor variables had a joint positive and significant effect.
Of independent or predictor variables.
Missing values are handled by using surrogate splits based on nonmissing predictor variables.
Significant predictor variables for the incidence of disease or insect attack were not found.
See also
Many alternatives for or additions to the set of predictor variables were explored.
Clinicians interpret individual predictor variables and score the clinical decision rule reliably and accurately.
It is suggested that pervasive beliefs in the harmfulness of the predictor variables are exaggerated.
Predictor variables in the HBSC data set.
Models were first fitted using all listed predictor variables as main effects.
Predictor variables in the NLSCY data set.
The relative risk was calculated in order to determine the associations among predictor variables.
Univariate analysis between the outcome and predictor variables was performed obtaining odds ratio.
Predictor Variables of burnout experience.
This is often used for deciding how many predictor variables to use in regression.
Predictor variables of the perception of success, differential aspects in route runners.
All these significances were controlled by the significant predictor variables of the individual and cities.
Each of the predictor variables was dichotomized in order to simplify the cross-tabulations.
This analysis also has the ability to eliminate predictor variables with poor performance.
Main effects of predictor variables then can be assessed, though not all interactive effects.
In a preferred embodiment, nine predictor variables were used.
In regression models, the independent variables are also referred to as regressors or predictor variables.
The direct correlations of all predictor variables with nocturnal SH were also weaker.
And therefore, there are no assumptions about the distribution of predictor variables.
Finally, we tested the predictor variables of burnout experience.
But now, we could have a whole set of predictor variables.
Initially, there are no predictor variables in the regression equation.
The x2 test was used to examine the associations between predictor variables.
The effect of the model's predictor variables to the height development was analyzed.
The independent variables are also called exogenous variables, predictor variables or regressors.
In this case, the predictor variables consist of dummy variables for the attribute levels.
However, only the statistically significant predictor variables are presented.
For all trees, the predictor variables diameter at breast height and tree height are known.
Ideally, a highly accurate but parsimonious model with few predictor variables is desired.
All predictor variables were standardized to have a mean of 0 and a SD of 1 prior to analysis.
Figure 13 is a chart listing examples of predictor variables for use in the present invention.
A variable screening algorithm, screen, was used to find the best set of predictor variables.
Multiple linear regressions were done to identify predictor variables for 25 cognitive tests scores dependent variables.
Forest habitat type, percent sand content, and soil pH were model predictor variables.
The nine predictor variables defined in Figure 2 were calculated for all profiles stored in step 3.
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Examples of using Predictor
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The surest predictor of genocide is past genocide
Perceived control can be an additional predictor of behavior
The predictor will not work either
Examples of using Variables
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Variables are introduced in order to track such bequests
The plan of the variables is the following
Variables to be probed as part of the study include
