dependent variable

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dependent variable

[di′pen·dənt ′ver·ē·ə·bəl]
(mathematics)
If y is a function of x, that is, if the function assigns a single value of y to each value of x, then y is the dependent variable.

dependent variable

the measure of the effect of the INDEPENDENT VARIABLE. Thus, in an experiment, or in data analysis, the independent variable (for example, number of years in school) is manipulated, or otherwise controlled, and the effect of this manipulation is seen by the change in the dependent variable (for example, reading proficiency). See also EXPERIMENTAL METHOD.
References in periodicals archive ?
In the above table the coefficients of correlations of independent variable (comparison) with all the three dependent variables, namely, improvement, enhancement, and self-evaluation, were higher than 0.
In Model 1, Level 1 was formulated as a linear growth model due to the linear growth patterns of the dependent variables (i.
It is possible to plot more than 1 dependent variable in a graph (e.
In these cases, the dependent variable in one graph becomes the independent variable for the next graph.
00, we can say that there is a significant relationship between the independent variables and the dependent variable.
15)-(18) include 4 dependent variables (metabolite concentrations), 12 independent variables (maximum reaction rates), 8 rate constants for both incoming and outgoing fluxes and 19 kinetic orders for incoming and 20 kinetic orders for outgoing fluxes.
Table 3: Analysis of VAR(1) Dependent Variable [DELTA]lnMAOR Co- efficient Probability Intercept 0.
The above analysis estimates the average value of the dependent variable when the independent variable is held fixed.
And why should anyone estimate these equivalent models in the form of his Model 2, which includes a lagged dependent variable that merely disguises the dependence of [[?
The dependent variables "Publications" and Citations Per Publication are for year t.
However, given that many dependent variables of interest to social work researchers are binary, multicategorical, ordinal, counted, censored, or assessed using truncated populations, social work researchers need to broaden their understanding and use of multiple regression beyond linear and binary logit regression.
In our situation, however, the weights assigned to the dependent variables are a measure of the contribution of a dependent variable towards minimizing the model's forecast errors.