Examples of using Dependent variable in English and their translations into Hungarian
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Dependent variable- Wiktionary.
Health status was the dependent variable.
Dependent variable is 1, such that.
They are controlled to remain constant, so as to not affect the dependent variable.
The dependent variable is the logarithmic real daily wage, lnw.
The multiple discriminant method is used when the dependent variable has three or more categorical states.
The dependent variable is the one that the scientist is trying to find out.
The general linear model is a generalization ofmultiple linear regression to the case of more than one dependent variable.
The dependent variable in each regression is the natural logarithm of salary.
It gives the percentage of explained variation as ifall independent variables in the model affect the dependent variable.
The independent variable is the presence or absence of the fertilizer, while the dependent variable is the height of the plant or rate of growth.
The control variable is not part of an experiment(not the independent or dependent variable), but it is important because it can have an effect on the results.
The dependent variable is drug consumption, while the independentvariables are family, school problems, peer group(friends), and leisure time activities.
The difficulty arises from thatone is not able to identify a dependent variable and independent variables and employ standard tools in statistics.
In the higher version, students not only have to identify the variables, but make other comments,such as how they are going to measure the dependent variable.
You can think of the independent variable as being the'cause' and the dependent variable as being the'effect'.
It is a statistical technique that simultaneously develops a mathematical relationship between twoor more independent variables and an interval scaled dependent variable.
For example, overall satisfaction with customer service(the dependent variable) is likely related to wait-time, the simplicity of returns, and refund policy(all independent variables and responsive to change, or action).
Adjusted R-squared, on the other hand, gives the percentage of variation explained byonly those independent variables that in reality affect the dependent variable.
Turning to the issue of employment policy and its evolution over the past twenty years, Mr Peña emphasised that employment used to be a condition that was inextricablylinked to economic growth, and was, therefore, a dependent variable.
For example, if an experiment were looking for the effect of caffeine on reaction time,the independent variable would be amount of caffeine and the dependent variable would be reaction time.
This mathematical method involves many other methods for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent ones.
A good recipe to work withwhen reporting the results of an experiment is(Dependent Variable) as a Function of(Independent Variable) or The Effects of(Independent Variable) on(Dependent Variable).
I do not intend to repeat what has been said about the need to predict the consequences in the bilateral area, or about the fact that we should avoid the mistake of first defining free trade priorities andthen moulding European industrial policy to these as a dependent variable, or that the question of making a contribution to sustainability must be taken into consideration.
Based on repeated measures analysis of variance with change from baseline as the dependent variable, an unstructured covariance matrix, treatment, month and treatment-by-month as fixed effects, and subject as a random effect in the model.
In experiments, especially, you need to control all the irrelevant variables in order tosee whether the independent variable actually affects the dependent variable.
Multiple linear regression is a generalization of simple linear regression to the case of more than one independentvariable, and a special case of general linear models, restricted to one dependent variable.
Multiple Regression- This statistical procedure is used to estimate the equation with thebest fit for explaining how the value of dependent variable changes as the values of some independent variables shifts.
A multiple regression analysis was conducted to explore the link between the average annual change in GDP per capitafor the Objective 1 area(the dependent variable) vis--vis the actual EU funds per capita expenditure in the Objective 1 regions of each member state.