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 = 35.8 * weight - 1672
This means that on average for every extra kilogram weight a rider loses 35.8 positions in the result.
Zonneveld
4
63 kgBates
26
61 kgGerrans
60
62 kgReid
990
62 kgTondo
990
68 kgChadwick
990
75 kgDanielson
990
58.5 kgWong
990
65 kg
4
63 kgBates
26
61 kgGerrans
60
62 kgReid
990
62 kgTondo
990
68 kgChadwick
990
75 kgDanielson
990
58.5 kgWong
990
65 kg
Weight (KG) →
Result →
75
58.5
4
990
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ZONNEVELD Thijs | 63 |
| 26 | BATES Gene | 61 |
| 60 | GERRANS Simon | 62 |
| 990 | REID Robin | 62 |
| 990 | TONDO Xavier | 68 |
| 990 | CHADWICK Glen Alan | 75 |
| 990 | DANIELSON Tom | 58.5 |
| 990 | WONG Kam-Po | 65 |