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Common property often results in
Regression Coefficients
Numeric values that represent the degree of change in the dependent variable expected for a one-unit change in one of the independent variables, holding other factors constant.
Correlated
When two or more variables or sets of data are related in some way, indicating a relationship or dependence between them.
Multicollinearity
A situation in multiple regression models where one predictor variable in the model can be linearly predicted from the others with a substantial degree of accuracy, leading to difficulties in determining the separate effects of predictor variables.
Dependent Variable
The outcome variable in an experiment or study that researchers wish to explain or predict, which changes in response to the independent variable.
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