Examples of using Dependent variable in English and their translations into Spanish
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Quantization is done on dependent variable.
Dependent variable was receive vs. not receive informal care.
There were a number of possibilities for the dependent variable CPUE.
The discrete dependent variable was level of happiness.
The statement does not strictly define the measurable, dependent variable.
Y is the response or the dependent variable data array one dimensional array of cells e.g.
In the right-most column,we place the response or the dependent variable values.
The primary dependent variable was the skin conductance response(SCR).
The explanation of this apparent contradiction stems from the change in the dependent variable.
In the Dependent variable(s) field, select with the mouse the ratings of the 96 judges.
The occurrence of anaemia was considered dependent variable in a logistic regression analysis.
The dependent variable that we try to explain is Panamanians' voting behavior in the 2004 elections.
It should not, in contrast to the claim of empiricists,be about the identification of a coincidence between a postulated independent variable and dependent variable.
Y is the response or the dependent variable time series data array one dimensional array of cells e.g.
To try to describe the victims of crime in Colombia, we created a logistic regressionmodel using whether or not a respondent was the victim of a crime in the previous year as the dependent variable.
Usually the test result is the dependent variable, the measured response based on the particular conditions of the test or the level of the independent variable. .
Mexico 2004-2006 In Regression V.1(see the technical appendix at chapter-end),there is a linear regression model having, as a dependent variable, the number of times the person was the victim of corruption in the past year.
If no dependent variable exists, either type of variable can be plotted on either axis and a scatter plot will illustrate only the degree of correlation(not causation) between two variables. .
To attempt to answer this question,we constructed a multivariate model with which to predict a dependent variable that influences whether a respondent was a victim of at least one act of corruption in the previous year.
To test the impact of the variables of violence on the support for a stable democracy a statistical analysis was run on data by means of binary logical regressions,taking as the dependent variable the support for a stable democracy.
The relationship between the independent variable and dependent variable is the basis of most statistical tests, which establish whether there is a significant correlation between the two.
The model includes a set of theoretically relevant socio-demographic variables as well as a measure of support for the system.13 The dependent variable, political tolerance, consists of an index of four questions presented at the beginning of this chapter.
Since the dependent variable respondent exposure is ordinal- that is, arranged in a well-ordered set-we modeled its effects with ordinal logistic regression, a commonly used statistical technique that estimates the net effects of various independent factors, or variables, on a single, ordered,"outcome" factor, or variable. .
Negative controls allow scientists to measure the natural variability of the dependent variable(s), provide a means of measuring error in the experiment, and also provide a baseline to measure against the experimental treatment.
Voting determiners Since our dependent variable is dichotomic-did vote/did not vote-we used logistical regression to examine determiners of voting.96 Table VIII.4.a(see Appendix B), presents the results of the model with the statistically significant predictors of intention to vote when each of the other variables remain constant.
A regression model, with this index of political interest and activism(whose results appear in the annex to this chapter) as the dependent variable, shows that the level of education, partisan affiliation, victimization by the conflict, and fear of participating have a significant impact on political interest and activism.
In the first section of this chapter we will refer to tolerance as dependent variable, that is to say, as the phenomenon that we want to explain, and we will do it across the traditional socio-demographic factors like: age, education, gender, income and geographical area.
To answer this question, we created a logistic regression model using whether or not the respondent said they had contributed during the last year as the dependent variable, and the usual sociodemographic variables, as well as ideological position, and fear of participating(which we will analyze later in this chapter) as the predictors.
The various plots examined confirmed that the unexplained part of the(log transformed) dependent variable is almost normally distributed and approximately complies with the basic assumptions underlying the ordinary least squares technique used to estimate the models' parameters.
Determinants of the vote The determinants of the vote were analyzed using logical regression since the dependent variable was dichotomic: voted or did not vote.1 Table VIII-2 in Appendix B shows the results of the model with the statistically significant predictors of intention to vote when each of the other variables remains constant.