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OLS Regression Analysis Results Summary by work.danisha is a document available to read on EtoBox.
The document presents the results of an Ordinary Least Squares (OLS) regression analysis, detailing coefficients, standard errors, and statistical significance for various explanatory variables affecting the dependent variable, RESIKO_PER. Key findings include significant coefficients for Intercept, PPM, and KEJAHATAN, with overall model significance indicated by low p-values. Diagnostic statistics such as R-squared, AICc, and tests for normality and heteroskedasticity are also reported, suggesting potentia
- Author
- work.danisha
- Language
- EN