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  • This site gives an explanation, a definition and an example of linear regression. Topics include least-squares, residuals, extrapolation, outliers, and influential observations.

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  • This site gives an explanation, a definition and an example of correlation. Topics include correlation coefficient and rŒ_.

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  • This site gives an explanation, a definition and an example of inference in linear regression. Topics include confidence intervals for intercept and slope, significance tests, mean response, and prediction intervals.
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  • This site gives an explanation, a definition and an example of multiple linear regression. Topics include confidence intervals, tests of significance, and squared multiple correlation.
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  • This site gives an explanation, a definition and an example of ANOVA for regression. Topics include analysis of variance calculations for simple and multiple regression, and F-statistics.
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  • This site gives an explanation, a definition of and an example using experimental design. Topics include experimentation, control, randomization, and replication.
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  • This site gives an explanation, a definition and an example of sampling in statistical inference. Topics include parameters, statistics, sampling distributions, bias, and variability.
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  • This site gives an explanation, a definition and an example of probability models. Topics include components of probability models and the basic rules of probability.
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  • This site gives an explanation, a definition and an example of conditional probability. Topics include the probabilities of intersections of events and Bayes' formula.
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  • This site gives an explanation, a definition and an example of mean and variance of random variables. Definitions and properties are also included.
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