Examples of using Dependent variable in English and their translations into Greek
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Official/political
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Computer
In the dependent variable.
It is the familiar"?t" considered as a dependent variable.
Y is the dependent variable.
A dependent variable is what you are observing in the experiment.
What is the dependent variable.
The dependent variable was the number of road fatalities.
Which is the dependent variable.
The dependent variable is the one observed during the experiment.
It is the value of the dependent variable when x= 0.
The dependent variable was SRH.
The effect size for this dependent variable was large.
The dependent variable was the FD.
We examined the awareness of the sponsor of the fans as the dependent variable.
The dependent variable is the data we collect during the experiment.
Every functional relationship has an independent variable and a dependent variable.
The dependent variable is one researcher seeks to understand, explain or predict.
A complex function is one in which the independent variable and the dependent variable are both complex numbers.
The dependent variable is customarily the condition that researchers are trying to explain, predict, or understand.
Use the INTERCEPT function when you want to determine the value of the dependent variable when the independent variable is 0(zero).
The terms independent variable and dependent variable are used in the context of experimental research.
The elements of this parameter vector are interpreted as the partial derivatives of the dependent variable with respect to the various independent variables. .
The dependent variable, Y, is the variable that we are trying to understand, classify or generalise.
Less commonly, the focus is on a quantile, orother location parameter of the conditional distribution of the dependent variable given the independent variables. .
The dependent variable, Y, is the variable that we are trying to understand, classify or generalise.
It should be noted that modelling rates of change is a statistically demanding exercise, andoften gives low levels of explained variation in the dependent variable.
Thus, it was detected for every dependent variable the amount of the independent variables that affect it.
Regression analysis includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. .
You can analyze how a single dependent variable is affected by the values of one or more independent variables. .
In statistics, linear regression is a linear approach to modeling the relationship between a scalar response(or dependent variable) and one or more explanatory variables(or independent variables). .
We can analyze how a single dependent variable is affected by the values of one or more explanatory variables. .