pre-assumptions_of_regression_analysis
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| pre-assumptions_of_regression_analysis [2016/04/27 08:02] – hkimscil | pre-assumptions_of_regression_analysis [2016/05/02 08:31] – [pre-asumptions in regression test] hkimscil | ||
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| * [[Influence]] - individual observations that exert undue influence on the coefficients | * [[Influence]] - individual observations that exert undue influence on the coefficients | ||
| - | * [[Collinearity]] or [Singularity] - predictors that are highly collinear, i.e. linearly related, can cause problems in estimating the regression coefficients. | + | * [[Collinearity]] or [[Singularity]] - predictors that are highly collinear, i.e. linearly related, can cause problems in estimating the regression coefficients. |
| ===== Outliers ===== | ===== Outliers ===== | ||
| Line 40: | Line 40: | ||
| But, the result might be due to some outliers. So, check outliers by examining: | But, the result might be due to some outliers. So, check outliers by examining: | ||
| * scatter plot: (z-predicted(x), | * scatter plot: (z-predicted(x), | ||
| - | * Mahalanovis | + | * [[Mahalanobis distance]] |
| * Cook distance | * Cook distance | ||
| * Leverage | * Leverage | ||
pre-assumptions_of_regression_analysis.txt · Last modified: 2016/05/11 08:37 by hkimscil