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 = -2.3 * weight + 174
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Tondo
1
68 kgDanielson
3
58.5 kgChadwick
4
75 kgKannemeyer
5
67 kgBates
69
61 kgGerrans
48
62 kg
1
68 kgDanielson
3
58.5 kgChadwick
4
75 kgKannemeyer
5
67 kgBates
69
61 kgGerrans
48
62 kg
Weight (KG) →
Result →
75
58.5
1
69
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TONDO Xavier | 68 |
| 3 | DANIELSON Tom | 58.5 |
| 4 | CHADWICK Glen Alan | 75 |
| 5 | KANNEMEYER Tiaan | 67 |
| 69 | BATES Gene | 61 |
| 48 | GERRANS Simon | 62 |