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- Each line was fitted by least squares to the pairs (x, y) (base 10) or (x, y).\widehat{\log y} = 1.5 + 0.08x\widehat{\log y} = 2.84 - 0.035x\widehat{\ln y} = 4.2 + 0.15x\widehat{\ln y} = 0.9 - 0.27x
- A city museum opened two new exhibits on the same day and counted the visitors to each one every week (made-up data).
- A forest survey counts the ash trees infested by a bark beetle in one county every year (made-up data).
- An artist posts a webcomic online and records the total number of pages posted since launch at the end of each month (made-up data), as pairs…
- A physics class strikes a tuning fork, and a sensor records the amplitude of its vibration, in micrometers, once a second (made-up data).
- A coral nursery grows coral fragments on underwater frames and counts them at the start of each month (made-up data), as pairs (months since…
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Transforming to linearity: logs and exponential models: 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