In the given correlation matrix, we can look for pairs of independent variables that exhibit high correlation coefficients, suggesting potential multicollinearity. Multicollinearity occurs when two or more predictor variables in a regression model are highly correlated, meaning they provide redundant information about the response variable. High correlation might lead to instability in coefficient estimates and difficulties in determining the