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 = 3.6 * weight - 209
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
Belgy
1
68 kgBouhanni
5
65 kgLaborie
6
67 kgCardoso
8
56 kgTortelier
17
63 kgGiraud
21
71 kgMestre
22
65 kgLindeman
25
69 kgKwiatkowski
27
68 kgJules
30
64 kgGarcía
37
70 kgPatanchon
48
69 kgPaillot
51
72 kgReza
55
71 kgCaldeira
62
76 kgBartko
71
78 kgLangella
74
76 kgSchulting
83
70 kg
1
68 kgBouhanni
5
65 kgLaborie
6
67 kgCardoso
8
56 kgTortelier
17
63 kgGiraud
21
71 kgMestre
22
65 kgLindeman
25
69 kgKwiatkowski
27
68 kgJules
30
64 kgGarcía
37
70 kgPatanchon
48
69 kgPaillot
51
72 kgReza
55
71 kgCaldeira
62
76 kgBartko
71
78 kgLangella
74
76 kgSchulting
83
70 kg
Weight (KG) →
Result →
78
56
1
83
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELGY Julien | 68 |
| 5 | BOUHANNI Nacer | 65 |
| 6 | LABORIE Christophe | 67 |
| 8 | CARDOSO André | 56 |
| 17 | TORTELIER Etienne | 63 |
| 21 | GIRAUD Benjamin | 71 |
| 22 | MESTRE Daniel | 65 |
| 25 | LINDEMAN Bert-Jan | 69 |
| 27 | KWIATKOWSKI Michał | 68 |
| 30 | JULES Justin | 64 |
| 37 | GARCÍA Egoitz | 70 |
| 48 | PATANCHON Fabien | 69 |
| 51 | PAILLOT Yoann | 72 |
| 55 | REZA Kévin | 71 |
| 62 | CALDEIRA Samuel José | 76 |
| 71 | BARTKO Robert | 78 |
| 74 | LANGELLA Anthony | 76 |
| 83 | SCHULTING Peter | 70 |