Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -11.9 * weight + 1120
This means that on average for every extra kilogram weight a rider loses -11.9 positions in the result.
Reid
5
62 kgBates
31
61 kgChadwick
39
75 kgGerrans
68
62 kgTondo
990
68 kgDanielson
990
58.5 kg
5
62 kgBates
31
61 kgChadwick
39
75 kgGerrans
68
62 kgTondo
990
68 kgDanielson
990
58.5 kg
Weight (KG) →
Result →
75
58.5
5
990
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | REID Robin | 62 |
| 31 | BATES Gene | 61 |
| 39 | CHADWICK Glen Alan | 75 |
| 68 | GERRANS Simon | 62 |
| 990 | TONDO Xavier | 68 |
| 990 | DANIELSON Tom | 58.5 |