One of the consequences of multicollinearity in multiple regression is inflated standard errors in some or all of the estimated slope coefficients.

Multicollinearity

Multicollinearity occurs when independent variables in a regression model are highly correlated, potentially distorting the results and making coefficients unreliable.

Standard Errors

Measures that provide an estimation of the variability or precision of a sample statistic as an estimate of a population parameter.

Slope Coefficients

In linear regression, the numerical values that multiply the predictor variables, representing the change in the response variable for a one-unit change in the predictor.