The correlation of independent variables with each other Can bias estimates of regression coefficients
a non-linear mathematical model that photogrammetric triangulation is based upon Collinearity equations describe the relationship among image coordinates, ground coordinates, and orientation parameters
Collinearity refers to a degree of association between two or more of the independent variables in a regression analysis
The property of two predictors showing significant correlation without a causal relationship between them
The condition in which the independent variables are (usually highly) correlated with each other