Inflated standard errors refer to the increase in the estimated standard errors of regression coefficients, often resulting from multicollinearity among predictor variables. When predictors are highly correlated, it becomes difficult to isolate their individual effects on the response variable, leading to unreliable coefficient estimates and making hypothesis tests less powerful. This condition is critical to recognize as it directly impacts the interpretation of statistical models and their predictive performance.
congrats on reading the definition of inflated standard errors. now let's actually learn it.