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- NCIT_C53237 IAO_0000115 "Regression analysis provides a "best-fit" mathematical equation for the relationship between the dependent variable (response) and independent variable(s) (covariates). There are two major classes of regression - parametric and non-parametric. Parametric regression requires choice of the regression equation with one or a greater number of unknown parameters. Linear regression, in which a linear relationship between the dependent variable and independent variables is posited, is an example. The aim of parametric regression is to find the values of these parameters which provide the best fit to the data. The number of parameters is usually much smaller than the number of data points. In contrast, the non-parametric regression requires no such a choice of the regression equation." @default.
- NCIT_C53237 NCIT_NHC0 "C53237" @default.
- NCIT_C53237 NCIT_P106 "Quantitative Concept" @default.
- NCIT_C53237 NCIT_P108 "Regression Method" @default.
- NCIT_C53237 NCIT_P207 "C0034980" @default.
- NCIT_C53237 NCIT_P366 "Regression_Method" @default.
- NCIT_C53237 normalizedInformationContent "87.123597049860606" @default.
- NCIT_C53237 referenceCount "7" @default.
- NCIT_C53237 hasExactSynonym "Regression Analysis" @default.
- NCIT_C53237 hasExactSynonym "Regression Method" @default.
- NCIT_C53237 type Class @default.
- NCIT_C53237 isDefinedBy ncit.owl @default.
- NCIT_C53237 label "Regression Method" @default.
- NCIT_C53237 subClassOf NCIT_C16847 @default.
- NCIT_C53237 subClassOf NCIT_C19044 @default.
- NCIT_C53237 subClassOf NCIT_C43431 @default.
- NCIT_C53237 subClassOf NCIT_C53228 @default.
- NCIT_C53237 subClassOf NCIT_C53237 @default.