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Residual plot.
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A residual plot for a regression is a plot of the residuals from the regression against the explanatory variable.
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Residual, английский
- The difference between a datum and the value predicted for it by a model. in linear regression of a variable plotted on the vertical axis onto a variable plotted on the horizontal axis, a residual is the "vertical" distance from a datum to the line. residuals can be positive (if the datum is above the line) or negative (if the datum is below the line). plots of residuals can reveal computational errors in linear regression, as well as conditions under which linear regression is inappropriate, such as nonlinearity and heteroscedasticity. if linear regression is performed properly, the sum of the residuals from the regression line must be zero; otherwise, there is a computational error somewhere.
- “the difference between a given data point and its predicted value.” [clsi]
- Остаточный; невыраба- тьгваемый (о топливе)
- Остаточный; невыра- батываемый (о топливе)
- In optical design, the aberrations that remain after the design has been optimized.
- See:residual value
- Авторский гонорар, начисляемый с каждого повторного исполнения (пьесы и т. п.)
Residual (stress, английский
Residual (stress, strain, deformation), английский
Residual (остаточный транш), русский
Последний (самый младший) транш в структурированном финансовом инструменте. остаточный транш представляет собой совокупность денежных поступлений, которые остаются после выполнения всех обязательств по всем старшим траншам. основным источником дохода по о
Residual acid, английский
Residual air, английский
Air left in the lungs after a person has breathed out as much air as possible
Residual analysis, английский
An analysis used in the profit split method which divides the combined profit from the controlled transactions under examination in two stages. in the first stage, each participant is allocated sufficient profit to provide it with a basic return appropriate for the type of transactions in which it is engaged. ordinarily this basic return would be determined by reference to the market returns achieved for similar types of transactions by independent enterprises. thus, the basic return would generally not account for the return that would be generated by any unique and valuable assets possessed by the participants. in the second stage, any residual profit (or loss) remaining after the first stage division would be allocated among the parties based on an analysis of the facts and circumstances that might indicate how this residual would have been divided between independent enterprises.
Residual arkose, английский
Residual assets, английский
Assets that remain after sufficient assets are dedicated to meet all senior debtholders` claims in full.
Residual bit error ratio, английский
Residual boulder, английский
Residual capacitive voltage, английский
Residual claim, английский
Related: equity claim
Residual claim on total assets, английский
Residual clay, английский
Residual confounding, английский
Residual cover, английский
The cash flow remaining after a project financing has been repaid, expressed as a percentage of the original loan. residual cushion.
Residual cross section, английский
Residual cross section:, английский
That part of the cross section of the original member which is assumed to remain after deduction of the thickness which is ineffective for fire-
Residual currency position, английский
Остаток валютной позиции
Residual current, английский
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
Explanatory, английский
- A объяснительный, поясняющий, пояснитель- ный (ант. descriptive); толковый (о словаре ) adequacy, power, theory
- Разъясняющий; поясняющий
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Convenience sample., английский
A sample drawn because of its convenience; it is not a probability sample. for example, i might take a sample of opinions in berkeley (where i live) by just asking my 10 nearest neighbors. that would be a sample of convenience, and would be unlikely to be
Normal distribution., английский
A random variable x has a normal distribution with mean m and standard error s if for every pair of numbers a ≤ b, the chance that a < (x-m)/s < b is
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