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In statistical modeling, regression analysis is a statistical method for estimating the relationship between a dependent variable (often called the outcome or response variable, or a label in machine learning parlance) and one or more independent variables (often called regressors, predictors, covariates, explanatory variables or features).
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regression displaystyle variables model data independent analysis linear variable beta least squares dependent parameters used estimate assumptions method one values
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Regression analysis | is a | statistical method for estimating the relationship between a dependent variable | 0.90 | text |
| time series | instance of | regression involving correlated responses | 0.80 | text |
| growth curves | instance of | regression involving correlated responses | 0.80 | text |
| regression in which the predictor | instance of | regression involving correlated responses | 0.80 | text |
| survey analysis | instance of | Specialized regression software has been developed for use in fields | 0.80 | text |
| neuroimaging | instance of | Specialized regression software has been developed for use in fields | 0.80 | text |
| Regression analysis | related to External links | Regression | 0.60 | section |
| Regression analysis | related to External links | Encyclopedia | 0.60 | section |
| Regression analysis | related to External links | Mathematics | 0.60 | section |
| Regression analysis | related to External links | EMS Press | 0.60 | section |
| Regression analysis | related to External links | Earliest Uses | 0.60 | section |
| Regression analysis | related to External links | Multiple | 0.60 | section |
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