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 = -1 * weight + 87
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Voeckler
1
71 kgGène
2
67 kgTleubayev
5
70 kgAmanuel
6
63 kgChaoufi
7
65 kgJelloul
8
58 kgPichot
10
72 kgCharteau
11
67 kgSchnaidt
12
70 kgHasnaoui
14
80 kgOkubamariam
19
60 kgGrmay
21
63 kgLagab
25
63 kgStalnov
28
63 kgHaddi
29
63 kgAfewerki
31
63 kgHoller
42
58 kgClaude
43
69 kgShushemoin
46
62 kgJanse van Rensburg
49
63 kgQuéméneur
66
67 kg
1
71 kgGène
2
67 kgTleubayev
5
70 kgAmanuel
6
63 kgChaoufi
7
65 kgJelloul
8
58 kgPichot
10
72 kgCharteau
11
67 kgSchnaidt
12
70 kgHasnaoui
14
80 kgOkubamariam
19
60 kgGrmay
21
63 kgLagab
25
63 kgStalnov
28
63 kgHaddi
29
63 kgAfewerki
31
63 kgHoller
42
58 kgClaude
43
69 kgShushemoin
46
62 kgJanse van Rensburg
49
63 kgQuéméneur
66
67 kg
Weight (KG) →
Result →
80
58
1
66
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOECKLER Thomas | 71 |
| 2 | GÈNE Yohann | 67 |
| 5 | TLEUBAYEV Ruslan | 70 |
| 6 | AMANUEL Meron | 63 |
| 7 | CHAOUFI Tarik | 65 |
| 8 | JELLOUL Adil | 58 |
| 10 | PICHOT Alexandre | 72 |
| 11 | CHARTEAU Anthony | 67 |
| 12 | SCHNAIDT Fabian | 70 |
| 14 | HASNAOUI Maher | 80 |
| 19 | OKUBAMARIAM Tesfom | 60 |
| 21 | GRMAY Tsgabu | 63 |
| 25 | LAGAB Azzedine | 63 |
| 28 | STALNOV Nikita | 63 |
| 29 | HADDI Soufiane | 63 |
| 31 | AFEWERKI Elyas | 63 |
| 42 | HOLLER Nikodemus | 58 |
| 43 | CLAUDE Mathieu | 69 |
| 46 | SHUSHEMOIN Alexandr | 62 |
| 49 | JANSE VAN RENSBURG Jacques | 63 |
| 66 | QUÉMÉNEUR Perrig | 67 |