explanatory variable

explanatory variable
пояснювальна змінна

The English-Ukrainian Dictionary. Economics, Finance, Banking, Investmentss, Bank Loans. . 2002.

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  • Variable Assembly Language — VAL is a computer based control system and language designed specifically for use with Unimation Inc. industrial robots.The VAL robot language is permanently stored as a part of the VAL system. This includes the programming language used to… …   Wikipedia

  • Dummy variable (statistics) — In statistics and econometrics, particularly in regression analysis, a dummy variable (also known as an indicator variable) is one that takes the values 0 or 1 to indicate the absence or presence of some categorical effect that may be expected to …   Wikipedia

  • independent variable — Within a particular study, analysis, or model, the independent (or explanatory) variable is the social element whose characteristics or variations shape and determine the dependent variable: for example, the age of marriage can help explain the… …   Dictionary of sociology

  • Instrumental variable — In statistics, econometrics, and related disciplines, the method of instrumental variables (IV) is used to estimate causal relationships when controlled experiments are not feasible. Statistically, IV methods allow consistent estimation when the… …   Wikipedia

  • New Catalogue of Suspected Variable Stars — The New Catalogue of Suspected Variable Stars (NSV) is a star catalogue containing 14,811 stars which, although suspected to be variable, were not given variable star designations prior to 1980. It was published in 1982.[1] References ^ New… …   Wikipedia

  • Multicollinearity — is a statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated. In this situation the coefficient estimates may change erratically in response to small changes in the model or the data.… …   Wikipedia

  • Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… …   Wikipedia

  • Coefficient of determination — In statistics, the coefficient of determination R2 is used in the context of statistical models whose main purpose is the prediction of future outcomes on the basis of other related information. It is the proportion of variability in a data set… …   Wikipedia

  • Distributed lag — In statistics and econometrics, a distributed lag model is a model for time series data in which a regression equation is used to predict current values of a dependent variable based on both the current values of an explanatory variable and the… …   Wikipedia

  • Dependent and independent variables — The terms dependent variable and independent variable are used in similar but subtly different ways in mathematics and statistics as part of the standard terminology in those subjects. They are used to distinguish between two types of quantities… …   Wikipedia

  • Local regression — LOESS, or locally weighted scatterplot smoothing, is one of many modern modeling methods that build on classical methods, such as linear and nonlinear least squares regression. Modern regression methods are designed to address situations in which …   Wikipedia


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