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 = [a] * weight + 8
This means that on average for every extra kilogram weight a rider loses [a] positions in the result.
Pacher
1
62 kgSepúlveda
2
59 kgTurgis
3
63 kgCombaud
4
63 kgDuchesne
5
75 kgLaporte
6
76 kgWaeytens
7
67 kgWarnier
8
71 kgChevrier
9
56 kgPaillot
10
72 kgTurgis
12
70 kgGouault
13
61 kgLe Gac
14
70 kgRaibaud
15
59 kgSenni
16
60 kgMaldonado
17
57 kgVan Zummeren
18
73 kgPellaud
19
70 kgLeveau
20
67 kg
1
62 kgSepúlveda
2
59 kgTurgis
3
63 kgCombaud
4
63 kgDuchesne
5
75 kgLaporte
6
76 kgWaeytens
7
67 kgWarnier
8
71 kgChevrier
9
56 kgPaillot
10
72 kgTurgis
12
70 kgGouault
13
61 kgLe Gac
14
70 kgRaibaud
15
59 kgSenni
16
60 kgMaldonado
17
57 kgVan Zummeren
18
73 kgPellaud
19
70 kgLeveau
20
67 kg
Weight (KG) →
Result →
76
56
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PACHER Quentin | 62 |
| 2 | SEPÚLVEDA Eduardo | 59 |
| 3 | TURGIS Jimmy | 63 |
| 4 | COMBAUD Romain | 63 |
| 5 | DUCHESNE Antoine | 75 |
| 6 | LAPORTE Christophe | 76 |
| 7 | WAEYTENS Zico | 67 |
| 8 | WARNIER Antoine | 71 |
| 9 | CHEVRIER Clément | 56 |
| 10 | PAILLOT Yoann | 72 |
| 12 | TURGIS Anthony | 70 |
| 13 | GOUAULT Pierre | 61 |
| 14 | LE GAC Olivier | 70 |
| 15 | RAIBAUD Jimmy | 59 |
| 16 | SENNI Manuel | 60 |
| 17 | MALDONADO Anthony | 57 |
| 18 | VAN ZUMMEREN Stef | 73 |
| 19 | PELLAUD Simon | 70 |
| 20 | LEVEAU Jérémy | 67 |