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 + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Fignon
1
67 kgBruyneel
3
71 kgMejia
6
63 kgRué
9
74 kgMadouas
15
70 kgUgrumov
16
58 kgJalabert
19
66 kg
1
67 kgBruyneel
3
71 kgMejia
6
63 kgRué
9
74 kgMadouas
15
70 kgUgrumov
16
58 kgJalabert
19
66 kg
Weight (KG) →
Result →
74
58
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIGNON Laurent | 67 |
| 3 | BRUYNEEL Johan | 71 |
| 6 | MEJIA Alvaro | 63 |
| 9 | RUÉ Gérard | 74 |
| 15 | MADOUAS Laurent | 70 |
| 16 | UGRUMOV Piotr | 58 |
| 19 | JALABERT Laurent | 66 |