Methods & Tests: Index plot
Index plot: An index plot plots each residual leverage or Cook’s distance against the corresponding observation (row) number (i or index) in the dataset. In many cases the row number corresponds to the order in which the data were collected. If this is the case this would be similar to plotting the residuals (or another diagnostic quantity) against time. The index plot is a helpful diagnostic test for normal linear and particularly generalized linear models. Both outliers and influential points can be detected by the index plot. It is particularly useful when the data is in time order so that pattern in the residuals etc. over time can be detected. If a residual index plot is showing a trend in time then they are not independent (violation of a major assumption of linear regression).
Tags: Absolute Risk, Addition Rule, Adjusted Odd Ratio, Age-Standardized Rate, ANOVA, ANOVCA, Arithmetic Mean, Association, asymptotic, Asymptotically, Basic statistics tests, Correlation, Data Analysis, methods, Methods & Tests, Sample Data, SPSS Analysis, SPSS Data, SPSS Functions, statistics, Statistics Assumptions, Statistics Functions, Statistics Methods, Statistics Results, Statistics Tests, tests
Posted on September 30th, 2016