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Explanatory variable.
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In regression, the explanatory or independent variable is the one that is supposed to "explain" the other. for example, in examining crop yield versus quantity of fertilizer applied, the quantity of fertilizer would be the explanatory or indepen
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Explanatory, английский
- A объяснительный, поясняющий, пояснитель- ный (ант. descriptive); толковый (о словаре ) adequacy, power, theory
- Разъясняющий; поясняющий
Explanatory comment, английский
Пояснительный комментарий
Explanatory note, английский
Explanatory study, английский
Explanatory variable, английский
- In regression, the explanatory or independent variable is the one that is supposed to "explain" the other. for example, in examining crop yield versus quantity of fertilizer applied, the quantity of fertilizer would be the explanatory or independent variable, and the crop yield would be the dependent variable. in experiments, the explanatory variable is the one that is manipulated; the one that is observed is the dependent variable.
- Объясняющая переменная
Regression, английский
- Statistical technique used to evaluate relationships among variables (22).
- Регрессия
- 1. a stage where symptoms of a disease are disappearing and the person is getting better 2. (in psychiatry) the process of returning to a mental state which existed when the person was younger
- Regression commonly refers to the process of developing an empirical (data-driven) model to predict and/or explain one or more attributes in a database or set of data. it is most frequently associated with the simple linear model (y=mx+b) taught in most introductory statistics courses; the same ideas have been extended in many directions, including classification problems. when the emphasis is on hypothesis testing and simple models, the regression output is typically a few parameters that provide a direct linkage from the input variables to the predicted variables (or classification). in other situations the emphasis is on explaining as much of the variability in the output variables as is "reasonable" from the input variables. in this case, there are a number of "advanced" techniques, such as smoothing splines, decision trees, neural nets, and so forth, for which there are many "free" parameters. the meaning of any one of these parameters can be obscure. many data mining techniques are, at their core, variations on well-known regression techniques. see also: classification, clustering, decision trees, neural nets.
- The reappearance of a previously fixed problem.
- The statistical process of predicting one or more continuous variables, such as profit or loss, based on other attributes in the dataset.
- A mathematical technique used to explain and/or predict. the general form is y = a + bx + u, where y is the variable that we are trying to predict; x is the variable that we are using to predict y, a is the intercept; b is the slope, and u is the regression residual. the a and b are chosen in a way to minimize the squared sum of the residuals. the ability to fit or explain is measured by the r-square.
- A seaward retreat of a shoreline, generally expressed as a seaward
Independent, английский
- One who logs and sells his output on the open market; not associated with a mill or under company or dealer contract (19).
- Независимый; автономный
- Независимый, автономный
- Независимый, самостоятельный; рантье (лицо, живущее на доходы от капитала)
- Независимый
- A независимый
- A merchant ship under naval control, but sailing alone and unescorted by any warship.
Fertilizer, английский
That which fertilizes, i.e., acts as a nutrient, whether organic or inorganic; may be natural or artificial.
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Independent variable., английский
In regression, the independent variable is the one that is supposed to explain the other; the term is a synonym for "explanatory variable." usually, one regresses the "dependent variable" on the "independent variable." there
Class interval., английский
In plotting a histogram, one starts by dividing the range of values into a set of non-overlapping intervals, called class intervals, in such a way that every datum is contained in some class interval. see the related entries class boundary and endpoint co
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