diagnostic plot

A diagnostic plot IS a specific kind of plot — it visualizes data to help identify model problems (residuals, outliers, assumption violations). Law 9: specific→general, nearest kind is plot.

Diagnostic plots are built for the sake of regression — they are designed to check regression assumptions, detect outliers, and evaluate model fit. Servant→master direction correct.

An influence plot IS a specific kind of diagnostic plot — it visualizes how individual data points affect regression model estimates, used to diagnose model sensitivity and identify influential observations. The filer tested direction: influence plot is the specific case, diagnostic plot is the general category.

A sensitivity plot IS a specific kind of diagnostic plot — it diagnoses model behavior by visualizing how outputs change when inputs vary. Per the sense pinned in its scope, it belongs to the diagnostic plot family.

A shap plot IS a specific kind of diagnostic plot — it diagnoses model behavior by visualizing feature importance and SHAP values. Per Law 9, a competent speaker would call a shap plot a diagnostic plot.

A marginal boxplot IS a specific kind of diagnostic plot.

A parallel coordinates plot IS a specific kind of diagnostic plot — it visually encodes multivariate data to diagnose patterns, outliers, and structure in high-dimensional datasets. Each axis represents a variable and lines connect values across axes, allowing visual inspection of correlations and anomalies.

A scale-location plot IS a specific kind of diagnostic plot — it assesses homoscedasticity in regression by plotting the square root of standardized residuals against fitted values to reveal patterns in variance. The note pins the sense correctly: a competent speaker would call a scale-location plot 'a diagnostic plot'. Direction is specific→general.

A leverage plot IS a specific kind of diagnostic plot — it identifies observations with high leverage in regression by plotting leverage values against observation indices. The note pins the sense correctly: a competent speaker would call a leverage plot 'a diagnostic plot'. Direction is specific→general. Leverage plots diagnose model sensitivity to individual observations.

A residual plot IS a specific kind of diagnostic plot — it assesses regression model assumptions by plotting residuals against fitted values to reveal non-linearity, heteroscedasticity, or other model inadequacies. The note pins the sense correctly: a competent speaker would call a residual plot 'a diagnostic plot'. Direction is specific→general.

QQ plot IS a specific kind of diagnostic plot: it plots theoretical quantiles against empirical quantiles to check distributional assumptions. A competent speaker would call it a diagnostic plot. Nearest rung: diagnostic plot (not matrix or chart).

A cooks distance plot is a specific kind of diagnostic plot — it visualizes Cook's distance values to identify influential observations in regression. A competent speaker would call it 'a diagnostic plot.' It files against the nearest kind confirmed as diagnostic plot.

An added-variable plot (partial regression plot) is a specific kind of diagnostic plot — it visualizes the relationship between a response variable and one predictor, adjusting for other predictors, to diagnose model specification. A competent speaker calls it a diagnostic plot. Nearest kind confirmed as diagnostic plot.

The hat matrix computes leverage (its diagonal) and is fundamental to computing studentized residuals, Cook's distance, and other regression diagnostics. Its designed purpose is to enable diagnostic plot computation.

A partial regression plot IS a specific kind of diagnostic plot — it diagnoses regression models by visualizing the adjusted relationship between a predictor and response, revealing nonlinearity and outliers in model residuals. Direction: specific→general.

An ecdf plot IS a specific kind of diagnostic plot: it diagnoses data distribution by visualizing the empirical cumulative distribution against a theoretical one, revealing skew, outliers, and deviations from expected patterns. Specific→general INSTANCE_OF.

A partial residual plot IS a specific kind of diagnostic plot — it diagnoses the relationship between a single predictor and the response in a multiple regression model by visualizing partial residuals. The note pins the sense: it is a diagnostic visualization for regression model assessment.

dfbeta is a specific kind of regression diagnostic tool — it quantifies coefficient change on leave-one-out deletion, fitting the diagnostic plot category. A competent speaker would call it a diagnostic.