This project presents a comprehensive implementation of multiple linear regression analysis using R. The analysis includes manual computation of regression coefficients using matrix algebra, followed by validation with built-in R functions. Statistical tests such as F-test, t-test, coefficient of determination (R²), and classical assumption tests (normality, heteroskedasticity, autocorrelation, and multicollinearity) are conducted. The objective is to evaluate the influence of independent variables on academic performance while ensuring model validity and reliability.

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Major rivers (nivaa 1a+2a) overlapping with fluvial and glacial deposits