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 = 0.5 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Calvente
2
55 kgLobato
4
64 kgRibeiro
8
59 kgDe Groote
10
71 kgBrutt
16
70 kgBeloki
18
66 kgValverde
21
61 kg
2
55 kgLobato
4
64 kgRibeiro
8
59 kgDe Groote
10
71 kgBrutt
16
70 kgBeloki
18
66 kgValverde
21
61 kg
Weight (KG) →
Result →
71
55
2
21
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CALVENTE Manuel | 55 |
| 4 | LOBATO Rubén | 64 |
| 8 | RIBEIRO Nuno | 59 |
| 10 | DE GROOTE Thierry | 71 |
| 16 | BRUTT Pavel | 70 |
| 18 | BELOKI Gorka | 66 |
| 21 | VALVERDE Alejandro | 61 |