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 = 0.9 * weight - 56
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Fignon
3
67 kgYates
4
74 kgRoche
5
74 kgBauer
11
72 kgDuclos-Lassalle
12
73 kgKelly
15
77 kg
3
67 kgYates
4
74 kgRoche
5
74 kgBauer
11
72 kgDuclos-Lassalle
12
73 kgKelly
15
77 kg
Weight (KG) →
Result →
77
67
3
15
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FIGNON Laurent | 67 |
| 4 | YATES Sean | 74 |
| 5 | ROCHE Stephen | 74 |
| 11 | BAUER Steve | 72 |
| 12 | DUCLOS-LASSALLE Gilbert | 73 |
| 15 | KELLY Sean | 77 |