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 - 23
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Lambrecht
1
56 kgLe Turnier
2
65 kgRochas
3
51 kgGaudu
4
53 kgCras
5
65 kgKnox
6
58 kgVincent
7
62 kgVanhoucke
8
65 kgReyes
9
55 kgCarboni
11
61 kgHolt
12
68 kgSchultz
13
68 kgGesbert
14
63 kgCherkasov
15
68 kgPearson
16
53 kgParet-Peintre
19
64 kgGeniets
20
73 kgJourniaux
21
63 kgDavies
23
66 kg
1
56 kgLe Turnier
2
65 kgRochas
3
51 kgGaudu
4
53 kgCras
5
65 kgKnox
6
58 kgVincent
7
62 kgVanhoucke
8
65 kgReyes
9
55 kgCarboni
11
61 kgHolt
12
68 kgSchultz
13
68 kgGesbert
14
63 kgCherkasov
15
68 kgPearson
16
53 kgParet-Peintre
19
64 kgGeniets
20
73 kgJourniaux
21
63 kgDavies
23
66 kg
Weight (KG) →
Result →
73
51
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAMBRECHT Bjorg | 56 |
| 2 | LE TURNIER Mathias | 65 |
| 3 | ROCHAS Rémy | 51 |
| 4 | GAUDU David | 53 |
| 5 | CRAS Steff | 65 |
| 6 | KNOX James | 58 |
| 7 | VINCENT Léo | 62 |
| 8 | VANHOUCKE Harm | 65 |
| 9 | REYES Aldemar | 55 |
| 11 | CARBONI Giovanni | 61 |
| 12 | HOLT Joe | 68 |
| 13 | SCHULTZ Nick | 68 |
| 14 | GESBERT Élie | 63 |
| 15 | CHERKASOV Nikolay | 68 |
| 16 | PEARSON Daniel | 53 |
| 19 | PARET-PEINTRE Aurélien | 64 |
| 20 | GENIETS Kevin | 73 |
| 21 | JOURNIAUX Axel | 63 |
| 23 | DAVIES Scott | 66 |