independent variable

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Independent variable

Term used in regression analysis to represent the element or condition that is expected to influence another (so-called dependent) variable.

Independent Variable

In technical analysis, a variable whose value is not determined by the value of other variable(s), but rather determines the value of those other variable(s). For example, if a product's price is determined by some equation involving the product's supply and its demand, supply and demand are independent variables because together they determine the product's price. See also: Dependent variable.

independent variable

A variable that is not affected by any other variables with which it is compared. For example, in comparing the price of an electric utility stock with interest rates, the interest rates are an independent variable because they are not affected by utility stock prices. Compare dependent variable.

independent variable

a variable that affects some other variable in a model. For example, the price of a product (the independent variable) will influence the demand for it (the DEPENDENT VARIABLE). It is conventional to place the independent variable on the right-hand side of an EQUATION. See DEMAND FUNCTION, SUPPLY FUNCTION.
References in periodicals archive ?
The independent variable in single-subject research typically is the practice, intervention, or behavioral mechanism under investigation.
A positive value for b indicates that the dependent and the independent variables are positively correlated (moving in the same direction).
Functional relationships are probable if the student's performance is altered only in response to the systematic application of the independent variable (Neuman & McCormick, 1995).
Both models allow continuous, ordinal and/or categorical independent variables.
The FY2016 POM (w/OCO) position is determined by adding the base budget ($126,798,869) plus the FY16 OCO Supplement ($23,700,000) to arrive at our independent variable of $150,498,869.
R statistics measures the partial correlation between the dependent variable and each of the independent variables.
In case of direct causal effect of leadership styles on the dependent variable, job satisfaction, the significant path coefficients for H6, H7, H8, and H9 affirmed that all four independent variables have direct effect on the level of job satisfaction.
The main advantage of regression analysis consists in the fact that it is a statistical method, which presupposes an estimation of the degree of precision and significance, and it can be used in all types of causal relations on condition that the variable that we have in view depends on independent variables.
As can be seen in chart (4-22), we found that there is a coefficient of positive correlation between the independent variable and control variables with market adjusted yield in accepted companies existing in Iran capital market and its value is 0.
The Coefficient table shows the sig value of the independent variables individually.
He examined four variables such as operating cash flows, profit before interest and tax, net income, and bond value as independent variables.
Model 6: To understand the impact of each independent variable while raising total debt for private sector companies

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