why is multicollinearity a problem in linear regression? how is multicollinearity affected with linear regression? what does it mean when a variable is weakly correlated when correlation is low, the uncertainty of the coefficient of the regression is likely to be if predictor variables are weakly correlated, is it true that the severity of the unreliability and instability of the coefficient estimates will be lower? what is the range for a low correlation linear regression what is the correlation in a multicollinear regression when variables are weakly correlated, is it true that the severity of the unreliability of the coefficient of an analysis will be low? what is the low correlation between a continuous variable and a continuous variable? what is the correlation of a continuous variable with a predictor variable which of the following variables are weakly correlated? which of the following is a good correlation matrix for continuous variable if predictor variables are weakly correlated is multicollinear what does it mean if a regression variable is low in correlation why is linear regression low on correlated variables what is the correlation of continuous variables which variable does the lrs use to determine correlation what is the correlation between the predictor variables when comparing the linear regression? why is it that a linear regression is unreliable because of multicollinearity? why is the correlation of dependent variables low in linear regression