response variable वाक्य
उदाहरण वाक्य
मोबाइल
- The best estimate component of BE + U represents the core information that is known and understood about the model response variables.
- More generally, " R " 2 is the square of the correlation between the constructed predictor and the response variable.
- The ESS is the sum of the squares of the differences of the predicted values and the mean value of the response variable:
- The statistical results show that functional diversity and species composition significantly affected the six response variables to a greater extent than species diversity.
- The notion of a " unique effect " is appealing when studying a complex system where multiple interrelated components influence the response variable.
- Equivalently, heteroscedasticity refers to unequal conditional variances in the response variables " Y " " i ", such that
- One of the typical ones that's most relevant to you is that the error in the response variable is identically distributed for all points.
- In a narrower sense, regression may refer specifically to the estimation of continuous response variables, as opposed to the discrete response variables used in classification.
- In a narrower sense, regression may refer specifically to the estimation of continuous response variables, as opposed to the discrete response variables used in classification.
- In statistics, "'response surface methodology ( RSM ) "'explores the relationships between several explanatory variables and one or more response variables.
- The GAMLSS model assumes that the distribution of response variable has any parametric distribution which might be heavy or light-tailed, and positively or negatively skewed.
- In a regression model setting, the goal is to establish whether or a not a relationship exists between a response variable and a set of predictor variables.
- It is particularly useful when the response variable is categorical, binary or subject to a constraint ( e . g . only positive responses make sense ).
- If the independent variable is referred to as an " explanatory variable " then the term " response variable " is preferred by some authors for the dependent variable.
- Such an experiment allows the investigator to study the effect of each factor on the response variable, as well as the effects of interactions between factors on the response variable.
- Such an experiment allows the investigator to study the effect of each factor on the response variable, as well as the effects of interactions between factors on the response variable.
- The closer this value is to 1.0, the better the data fit to a hyperplane representing the relationship between the response variable and a set of covariate variables.
- Note : This type of fit, with the response variable appearing on both sides of the function, should only be used to obtain starting values for the nonlinear fit.
- A main assumption in linear regression is constant variance or ( homoscedasticity ), meaning that different response variables have the same variance in their errors, at every predictor level.
- For random censoring on the response variables, the censored quantile regression of Portnoy ( 2003 ) provides consistent estimates of all identifiable quantile functions based on reweighting each censored point appropriately.
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