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Descriptive Statistics - Simple Linear Regression - Autocorrelation

[Home] [Up] [General Linear Model] [Mean and Variances] [Covariance] [Correlation Coefficient] [Least Squares] [Parameter b(0)] [Parameter b(1)] [Response] [Significance] [Determination Coeff.] [ANOVA] [Residuals] [Model Selection] [Model Performance] [Relationships] [Autocorrelation]

[Durbin-Watson] [Von Neumann] [LS-Estimate] [ML-Estimate] [Serial Correlation] [Goldberger]

This section contains information about Autocorrelation in the General Linear Model. If you are searching for information about autocorrelation in the context of multiple linear regression, look here. The autocorrelation function is also treated in our Time Series Analysis section, and can be computed with our free online applications.
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Home
Up
General Linear Model
Mean and Variances
Covariance
Correlation Coefficient
Least Squares
Parameter b(0)
Parameter b(1)
Response
Significance
Determination Coeff.
ANOVA
Residuals
Model Selection
Model Performance
Relationships
Autocorrelation
Durbin-Watson
Von Neumann
LS-Estimate
ML-Estimate
Serial Correlation
Goldberger
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