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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Schuran
1
70 kgKubiš
2
70 kgHirschi
3
61 kgUlissi
4
63 kgGloag
5
60 kgDouble
6
56 kgKalojíros
7
68 kgVermaerke
8
67 kgWenzel
9
68 kgAlaphilippe
10
62 kgHiguita
11
57 kgBrenner
12
59 kgZwiehoff
13
61 kgCôté
14
74 kgŘeha
15
72 kgLeknessund
16
72 kgVan Poucke
17
68 kgAsgreen
18
75 kg
1
70 kgKubiš
2
70 kgHirschi
3
61 kgUlissi
4
63 kgGloag
5
60 kgDouble
6
56 kgKalojíros
7
68 kgVermaerke
8
67 kgWenzel
9
68 kgAlaphilippe
10
62 kgHiguita
11
57 kgBrenner
12
59 kgZwiehoff
13
61 kgCôté
14
74 kgŘeha
15
72 kgLeknessund
16
72 kgVan Poucke
17
68 kgAsgreen
18
75 kg
Weight (KG) →
Result →
75
56
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHURAN Michal | 70 |
| 2 | KUBIŠ Lukáš | 70 |
| 3 | HIRSCHI Marc | 61 |
| 4 | ULISSI Diego | 63 |
| 5 | GLOAG Thomas | 60 |
| 6 | DOUBLE Paul | 56 |
| 7 | KALOJÍROS Tomáš | 68 |
| 8 | VERMAERKE Kevin | 67 |
| 9 | WENZEL Mats | 68 |
| 10 | ALAPHILIPPE Julian | 62 |
| 11 | HIGUITA Sergio | 57 |
| 12 | BRENNER Marco | 59 |
| 13 | ZWIEHOFF Ben | 61 |
| 14 | CÔTÉ Pier-André | 74 |
| 15 | ŘEHA Filip | 72 |
| 16 | LEKNESSUND Andreas | 72 |
| 17 | VAN POUCKE Aaron | 68 |
| 18 | ASGREEN Kasper | 75 |