Variance inflation occurs when independent variables in a regression model are highly correlated, leading to unstable estimates of the regression coefficients, making it difficult to assess the impact of each variable. It's important to address this issue by using techniques such as variance inflation factor (VIF) analysis to ensure the reliability of the model's predictions.