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 = -15.2 * weight + 1137
This means that on average for every extra kilogram weight a rider loses -15.2 positions in the result.
Tondo
1
68 kgChadwick
3
75 kgDanielson
4
58.5 kgWong
5
65 kgGerrans
53
62 kgBates
54
61 kgReid
990
62 kg
1
68 kgChadwick
3
75 kgDanielson
4
58.5 kgWong
5
65 kgGerrans
53
62 kgBates
54
61 kgReid
990
62 kg
Weight (KG) →
Result →
75
58.5
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TONDO Xavier | 68 |
| 3 | CHADWICK Glen Alan | 75 |
| 4 | DANIELSON Tom | 58.5 |
| 5 | WONG Kam-Po | 65 |
| 53 | GERRANS Simon | 62 |
| 54 | BATES Gene | 61 |
| 990 | REID Robin | 62 |