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 = -0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Konyshev
3
77 kgJalabert
4
66 kgBruyneel
6
71 kgFignon
7
67 kgRué
11
74 kgMadouas
13
70 kgVerstrepen
16
66 kg
3
77 kgJalabert
4
66 kgBruyneel
6
71 kgFignon
7
67 kgRué
11
74 kgMadouas
13
70 kgVerstrepen
16
66 kg
Weight (KG) →
Result →
77
66
3
16
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KONYSHEV Dmitry | 77 |
| 4 | JALABERT Laurent | 66 |
| 6 | BRUYNEEL Johan | 71 |
| 7 | FIGNON Laurent | 67 |
| 11 | RUÉ Gérard | 74 |
| 13 | MADOUAS Laurent | 70 |
| 16 | VERSTREPEN Johan | 66 |