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Comparison of two usually means: confidence intervals and importance checks, z and t statistics, pooled t methods

Inference in linear regression: self confidence intervals for intercept and slope, importance exams, indicate reaction and prediction intervals.

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Multiple linear regression: confidence intervals, tests of Recommended Site significance, squared many correlation

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