Multicollinearity and misleading statistical results
Multicollinearity represents a high degree of linear intercorrelation between explanatory variables in a multiple regression model and leads to incorrect results of regression a...
Multicollinearity represents a high degree of linear intercorrelation between explanatory variables in a multiple regression model and leads to incorrect results of regression a...
Missing values and outliers are frequently encountered while collecting data. The presence of missing values reduces the data available to be analyzed, compromising the statisti...
ABSTRACT Objectives Asian adults develop metabolic complications at lower body mass indices ( BMIs ) compared with other ethnic groups, leading to lower BMI cutoffs for overweig...