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30 min videoβ’october 15, 2019

Jerry Kosoff

In part two of a three-part series, we meet Least-Squares Regression Lines. We learn how to use them to make predictions, how to interpret the slope/intercept of the equation, and the meaning and dangers of "extrapolation." Then, we define "residuals" and discuss how to calculate and interpret them in context.

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πUnit 1: Exploring One-Variable Data

βοΈUnit 2: Exploring Two-Variable Data

πUnit 3: Collecting Data

π²Unit 4: Probability, Random Variables, and Probability Distributions

πUnit 5: Sampling Distributions

βοΈUnit 6: Inference for Categorical Data: Proportions

πΌUnit 7: Inference for Qualitative Data: Means

β³οΈUnit 8: Inference for Categorical Data: Chi-Square

πUnit 9: Inference for Quantitative Data: Slopes