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Linear Regression Modeling & Predictive Analysis in R
This assignment covers Questions 2, 9, 10, and 12 from Chapter 3 of An Introduction to Statistical Learning with Applications in R. The exercises focus on linear regression, including the interpretation of regression coefficients, evaluation of relationships between predictors and response variables, and assessment of model fit.
The analysis applies simple and multiple linear regression techniques in R while examining concepts such as coefficient interpretation, statistical significance, interactions, residual analysis, and potential model limitations.