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The document explains Linear Regression as a statistical technique for modeling relationships between dependent and independent variables, specifically in traffic prediction to estimate Average Annual Daily Traffic (AADT). It outlines the variables used in the model, the process of building the model in R, and the importance of residual analysis and diagnostic plots for validating regression assumptions. Additionally, it discusses the significance of R-squared and RMSE in evaluating model performance and th

Author

zehadrahman064

Language

EN