dependent variable
An item that is dependent on another item. For example, your wages would be a dependent variable and the hours you work would be the independent variable.
Dependent Variable
Dependent Variable definition :
Term used in regressionanalysis to represent the element or condition that is dependent on values of one ormore other independent variables.
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Dependent Variable
The output or response that is the result of changes to the independent variable.
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dependent variable
one whose value depends upon the values of other variables and constants in some relationship. For example, in the relationship (y) = f (x), y is the dependent variable.
DEPENDENT VARIABLE - Term used in regression analysis to represent the element or condition that is dep...
DEPLETION - the process of cost allocation that assigns the original cost of a natural resource to the ...
dependent variable
an unknown variable that is to be predicted
using one or more independent variables
independent variable ...
DEPENDENT VARIABLE: A variable that is identified within the workings of the model. Also termed an endogenous variable, a dependent variable is in essence the "output" of the model.
Dependent variable
A dependent variable is a variable that reacts or responds to some causal factor.
censored dependent variable: A dependent variable in a model is censored if observations of it cannot be seen when it takes on vales in some range.
How does an independent variable differ from a dependent variable?
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A project whose acceptance or rejection is independent of the acceptance or rejection of other projects.
Independent variable ...
where X is the independent variable (price, income, etc.) and Y is the dependent variable (quantity demanded, quantity supplied, etc).
Regression coefficient Term yielded by regression analysis that indicates the sensitivity of the dependent variable to a particular independent variable. See: Parameter.
Also, the number of periods that an independent variable in a regression model is "held back" in order to predict the dependent variable.
For example, an r squared of 75% means that 75% of the variability observed in the dependent variable is explained by the independent variable. Rally (recovery) An upward movement of prices. Opposite of reaction.
A linear relationship between a dependent variable and one or more independent variables plus a stochastic disturbance: Yi=b0+b1X1i+...+bnXni+ui.
Linearly homogeneous
Homogeneous of degree 1. Sometimes called linear homogeneous.
In statistics, linear regression is a technique for estimating the value of dependent variable from a set of one or more independent variables.
Stock market return was taken as dependent variable whereas Risk free rates as independent variables. Also, Pearson Correlation Matrix was also obtained through correlation model.
(2) A measure (ranging in value from 1.00 to -1.00) of the association between a dependent variable (fund, portfolio) and one or more independent variables (index).
A statistical technique for measuring/quantifying the type of causal relationship among variables; one of which is the Dependent Variable (DV) while the others are the Independent Variables (IVs).
A statistical technique used to explain or predict the behavior of a dependent variable.
(1) A term used by economists to describe changes in dependent variables that tend to lag behind changes in the independent variables with which they are associated.
Notice that the activity or "cost driver" is shown as the independent variable on the X-axis; the resulting cost is shown on the Y-axis. A variable cost will begin at the origin (0,0) and will appear as a straight line.
The function appears in this form because economists place the independent variable on the y-axis and the dependent variable on the x-axis. The slope of the inverse function is ∆P/∆Q. This fact should be kept in mind when calculating elasticity.
Alpha and beta coefficients are calculated using a procedure known as "regression analysis," where points in a system of coordinates are generated by measuring "market" movements (the "independent variable") along the horizontal "X" axis and ...
Regression analysis - A statistical procedure for estimating the average relationship between the dependent variable (sales, for example) and one or more independent variables (price and advertising, for example).
Dependent variable
Depletion
Deposit
Deposit insurance
Deposit/Withdrawal at Custodian - DWAC
Depositary
Depository institution
Depository Institutions Deregulation and Monetary Control Act
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Payment of a financial obligation later than is expected or required, as in lead and lag. Also, the number of periods that an independent variable in a regression model is "held back" in order to predict the dependent variable.
Multiple regression
The estimated relationship between a dependent variable and more than one explanatory variable.
Linear regression
A statistical technique for fitting a straight line to a set of data points.
An equation that describes the average relationship between a dependent variable and a set of explanatory variables.
Regression toward the mean
The tendency for subsequent observations of a random variable to be closer to its mean.
A measure of the goodness of fit of the relationship between a dependent and independent variable in a regression analysis-for instance, the percentage of the variation in the return of an asset explained by the market portfolio return.
The estimated relationship between a dependent variable and more than one explanatory variable.
Multiples
Another name for price/earnings ratios.
A statistical measure that attempts to determine the strength of the relationship between one dependent variable (usually denoted by Y) and a series of other changing variables (known as independent variables).
Definition: A graph in which successive points representing the value of a variable at selected values of the dependent variable are connected by straight lines. (e.g. unemployment rates among youth over the last ten years).
1975. 'The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models.' Annals of Economic and Social Measurement 5: 475-492.
It gives the intercept and slope(s) of the "best fitting" line. Thus it tells how much one variable (the dependent variable) will change when other variables (the independent, or explanatory, variables) change.
How big a pinch can vary considerably and is indicated by the degree of STATISTICAL SIGNIFICANCE and R SQUARED. The relationship between a dependent variable (GDP, say) and a set of explanatory variables (DEMAND, INTEREST rates, CAPITAL, ...
 See also: Regression, Values, Expense, Banks, Independent variable
  
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