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 = -0.6 * weight + 97
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Induráin
3
76 kgCordes
5
70 kgRoche
6
74 kgBreukink
10
70 kgvan der Poel
22
70 kgWinnen
25
60 kgBölts
28
73 kgSchepers
29
60 kgEarley
30
62 kgNevens
47
58 kgPrado
64
69 kgden Bakker
70
71 kgElliott
75
76 kgWalton
82
68 kgArntz
97
70 kgRipoll
103
66 kgOvando
106
66 kgBalboa
108
66 kgVeenstra
110
70 kg
3
76 kgCordes
5
70 kgRoche
6
74 kgBreukink
10
70 kgvan der Poel
22
70 kgWinnen
25
60 kgBölts
28
73 kgSchepers
29
60 kgEarley
30
62 kgNevens
47
58 kgPrado
64
69 kgden Bakker
70
71 kgElliott
75
76 kgWalton
82
68 kgArntz
97
70 kgRipoll
103
66 kgOvando
106
66 kgBalboa
108
66 kgVeenstra
110
70 kg
Weight (KG) →
Result →
76
58
3
110
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | INDURÁIN Miguel | 76 |
| 5 | CORDES Tom | 70 |
| 6 | ROCHE Stephen | 74 |
| 10 | BREUKINK Erik | 70 |
| 22 | VAN DER POEL Adrie | 70 |
| 25 | WINNEN Peter | 60 |
| 28 | BÖLTS Udo | 73 |
| 29 | SCHEPERS Eddy | 60 |
| 30 | EARLEY Martin | 62 |
| 47 | NEVENS Jan | 58 |
| 64 | PRADO Vicente | 69 |
| 70 | DEN BAKKER Maarten | 71 |
| 75 | ELLIOTT Malcolm | 76 |
| 82 | WALTON Brian | 68 |
| 97 | ARNTZ Marcel | 70 |
| 103 | RIPOLL José Andrés | 66 |
| 106 | OVANDO Rolando | 66 |
| 108 | BALBOA Antonio | 66 |
| 110 | VEENSTRA Wiebren | 70 |