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What's on the worksheet
- A window-washing company fits a least-squares line to 24 houses (made-up data), predicting the time y (minutes) to wash a house's windows from the…
- A food bank fits a least-squares line to 9 packing shifts (made-up data), predicting the number of boxes packed y from the number of volunteers x:
- A botanical garden records, for eight ordinary days, the number of visitors x (hundreds) and the takings of its plant sale y (hundreds of dollars),…
- A cider mill records seven pressings (made-up data) as pairs (apples pressed in kilograms, cider in liters):
- A sugarhouse boils five batches of maple sap (made-up data), as pairs (sap in hundreds of liters, syrup in liters):
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Outliers, leverage and influential points: the lesson ›More Chapter 2 worksheets: Exploring two-variable data
- 2.1Conditional relative frequencies
- 2.2Association in a two way table and segmented bar graphs
- 2.3Describing a scatter plot
- 2.4The correlation coefficient
- 2.5Interpreting a residual
- 2.6Making and reading residual plots
- 2.7Correlation from standardized values
- 2.8The least squares criterion and its line
- 2.9Slope from r and the spreads, and regression to the mean
- 2.10r squared and the standard deviation of the residuals
- 2.11Reading regression output
- 2.12Outliers, leverage and influential points
- 2.13Transforming to linearity: logs and exponential models
- 2.14Log-log transforms and power models