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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Turgis
1
70 kgDe Gendt
2
75 kgBarthe
3
70 kgNõmmela
4
69 kgGeniets
5
73 kgDewulf
6
74 kgSwift
7
75 kgAllegaert
8
70 kgMertz
9
70 kgVan Poucke
10
68 kgLeroux
11
79 kgTouzé
12
69 kgLeysen
13
78 kgIdjouadiene
14
69 kgBarbier
15
69 kgTaminiaux
16
74 kgvan Schip
17
84 kgRobeet
18
75 kgEenkhoorn
19
72 kgWelten
20
81 kgWouters
21
75 kgViejo
22
75 kgSellier
23
68 kg
1
70 kgDe Gendt
2
75 kgBarthe
3
70 kgNõmmela
4
69 kgGeniets
5
73 kgDewulf
6
74 kgSwift
7
75 kgAllegaert
8
70 kgMertz
9
70 kgVan Poucke
10
68 kgLeroux
11
79 kgTouzé
12
69 kgLeysen
13
78 kgIdjouadiene
14
69 kgBarbier
15
69 kgTaminiaux
16
74 kgvan Schip
17
84 kgRobeet
18
75 kgEenkhoorn
19
72 kgWelten
20
81 kgWouters
21
75 kgViejo
22
75 kgSellier
23
68 kg
Weight (KG) →
Result →
84
68
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TURGIS Anthony | 70 |
| 2 | DE GENDT Aimé | 75 |
| 3 | BARTHE Cyril | 70 |
| 4 | NÕMMELA Aksel | 69 |
| 5 | GENIETS Kevin | 73 |
| 6 | DEWULF Stan | 74 |
| 7 | SWIFT Connor | 75 |
| 8 | ALLEGAERT Piet | 70 |
| 9 | MERTZ Rémy | 70 |
| 10 | VAN POUCKE Aaron | 68 |
| 11 | LEROUX Samuel | 79 |
| 12 | TOUZÉ Damien | 69 |
| 13 | LEYSEN Senne | 78 |
| 14 | IDJOUADIENE Pierre | 69 |
| 15 | BARBIER Pierre | 69 |
| 16 | TAMINIAUX Lionel | 74 |
| 17 | VAN SCHIP Jan-Willem | 84 |
| 18 | ROBEET Ludovic | 75 |
| 19 | EENKHOORN Pascal | 72 |
| 20 | WELTEN Bram | 81 |
| 21 | WOUTERS Enzo | 75 |
| 22 | VIEJO José Daniel | 75 |
| 23 | SELLIER Simon | 68 |