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The Carnegie Corporation evaluated U.S. middle schools and recommended that
First-Order Autocorrelation
The correlation between values in a series and their immediate predecessors, often used to detect patterns or trends in time series data.
Durbin-Watson Statistic
Utilized to check for the presence and intensity of autocorrelation between residuals in linear regression models.
Negative Autocorrelation
A situation in a time series where current values are inversely related to previous values, meaning increases lead to future decreases and vice versa.
Multicollinearity
A statistical phenomenon where predictor variables in a multiple regression model are highly correlated, potentially affecting the model's precision.
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