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Positive Autocorrelation
A situation in which the errors in a regression model are positively correlated, meaning that a positive error in one period is likely to be followed by a positive error in the next.
Multicollinearity
A situation in regression analysis where independent variables are highly correlated, making it difficult to estimate individual regression coefficients accurately.
Regression Coefficients
Regression coefficients are values that quantify the relationship between independent variables and a dependent variable in regression analysis.
Independent Variable
A variable that is manipulated or changed in an experiment to observe its effect on the dependent variable.
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