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 - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Madrazo
1
61 kgKoretzky
2
66 kgVuillermoz
3
60 kgBonnafond
4
68 kgTxurruka
5
58 kgPinot
7
63 kgCourteille
8
62 kgGarcia
9
55 kgGuillemois
10
66 kgDi Grégorio
11
67 kgPérichon
12
69 kgElissonde
13
52 kgJeandesboz
14
69 kgDupont
15
57 kgCherel
16
65 kgDemoitié
17
69 kgLaengen
18
79 kg
1
61 kgKoretzky
2
66 kgVuillermoz
3
60 kgBonnafond
4
68 kgTxurruka
5
58 kgPinot
7
63 kgCourteille
8
62 kgGarcia
9
55 kgGuillemois
10
66 kgDi Grégorio
11
67 kgPérichon
12
69 kgElissonde
13
52 kgJeandesboz
14
69 kgDupont
15
57 kgCherel
16
65 kgDemoitié
17
69 kgLaengen
18
79 kg
Weight (KG) →
Result →
79
52
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MADRAZO Ángel | 61 |
| 2 | KORETZKY Clément | 66 |
| 3 | VUILLERMOZ Alexis | 60 |
| 4 | BONNAFOND Guillaume | 68 |
| 5 | TXURRUKA Amets | 58 |
| 7 | PINOT Thibaut | 63 |
| 8 | COURTEILLE Arnaud | 62 |
| 9 | GARCIA Marcos | 55 |
| 10 | GUILLEMOIS Romain | 66 |
| 11 | DI GRÉGORIO Rémy | 67 |
| 12 | PÉRICHON Pierre-Luc | 69 |
| 13 | ELISSONDE Kenny | 52 |
| 14 | JEANDESBOZ Fabrice | 69 |
| 15 | DUPONT Hubert | 57 |
| 16 | CHEREL Mikaël | 65 |
| 17 | DEMOITIÉ Antoine | 69 |
| 18 | LAENGEN Vegard Stake | 79 |