'Regression inference' presentation slideshows

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Chapter 14 Inference for Regression

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Chapter 14 Inference for Regression

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Inference for Regression

Inference for Regression. Population Regression Line. Standard Error of the Regression Line. The ? above is the standard deviation of the regression line. It is estimated by the standard error of the regression line S e = standard deviation of the residuals.

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Inference for Regression

Inference for Regression. Chapter 14. The Regression Model. The LSRL equation is ? = a + bx a and b are statistics; they are computed from sample data, therefore, we use them to estimate the true y-intercept, ? , and true slope, ? ? y = ? + ? x

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Chapter 27: Inferences for Regression

Chapter 27: Inferences for Regression. Final chapter!. Inference from a correlation?. Discuss with your table groups. All still VERY relevant! Scatterplot ? association ? (sometimes) correlation with R-squared Caution: outliers, high-influence points Caution: extrapolation

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Regression inference

Regression inference. Infants who cry easily may be more easily stimulated than others. This may be a sign of higher IQ. A snap of a rubber band on the sole of the foot caused the infants to cry. They later measured the children's IQ at age three years using the Stanford- Binet IQ test.

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