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GitHub / ashishyadav24092000 / Residual-Analysis-in-Linear-Regression

Residual analysis in Linear regression is based on examination of graphical plots which are as follows :: 1. Residual plot against independent variable (x). 2. Residual plot against independent variable()y. 3. Standardize or studentized residual plot 4. Normal probability plot

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ashishyadav24092000%2FResidual-Analysis-in-Linear-Regression

Stars: 2
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 393 KB
Dependencies parsed at: Pending

Created at: over 3 years ago
Updated at: over 1 year ago
Pushed at: over 3 years ago
Last synced at: over 1 year ago

Topics: anova-analysis, linear-regression, matplotlib-pyplot, qqplot, residual-analysis, seaborn-plots

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