Page 1 of 3
Download
Get this sheet
SubscriptionOpen any sheet in any course, up to 40 a month, keys included. Or $40 month to month.
$25/mo, billed yearly
SubscribeTry one first: a free Chapter 1 worksheet (PDF, no sign-in).
What's on the worksheet
- A sheep farmer fits a least-squares line predicting the weight of each sheep's fleece (pounds) from the sheep's body weight (pounds) for 12 sheep…
- A bike repair shop fits a least-squares line predicting repair time (minutes) from the number of parts replaced, for 25 repairs (made-up data).
- A naturalist runs a moth light trap on 15 summer nights (made-up data) and counts the moths caught each night.
- A laundromat owner times 11 loads in one dryer (made-up data) and fits a least-squares line predicting drying time (minutes) from the mass of the…
- A kelp farm hangs seeded ropes of different lengths in the sea and weighs the kelp on each rope at harvest (made-up data).
- A trekking company leads llama treks.
- A bookbinding workshop records, for 10 books (made-up data), the number of pages and the minutes it takes to bind the book.
Teach it first
The free lesson teaches it with worked examples and practice problems.
r squared and the standard deviation of the residuals: 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