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Competitive equilibrium and Nash equilibrium:
Regression Model
A regression model is a statistical tool used to estimate the relationships among variables, typically between a dependent variable and one or more independent variables.
Multicollinearity
Multicollinearity occurs when independent variables in a regression model are highly correlated, potentially distorting the results and making coefficients unreliable.
Standard Errors
Measures that provide an estimation of the variability or precision of a sample statistic as an estimate of a population parameter.
Slope Coefficients
In linear regression, the numerical values that multiply the predictor variables, representing the change in the response variable for a one-unit change in the predictor.
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