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 - 37
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Gène
1
67 kgTleubayev
2
70 kgStalnov
5
63 kgGrmay
6
63 kgAmanuel
8
63 kgCharteau
10
67 kgVoeckler
11
71 kgJelloul
18
58 kgLagab
19
63 kgOkubamariam
24
60 kgChaoufi
29
65 kgAfewerki
34
63 kgHoller
38
58 kgJanse van Rensburg
42
63 kgPichot
45
72 kgHaddi
46
63 kgHasnaoui
51
80 kgShushemoin
53
62 kgClaude
60
69 kgQuéméneur
69
67 kgSchnaidt
72
70 kg
1
67 kgTleubayev
2
70 kgStalnov
5
63 kgGrmay
6
63 kgAmanuel
8
63 kgCharteau
10
67 kgVoeckler
11
71 kgJelloul
18
58 kgLagab
19
63 kgOkubamariam
24
60 kgChaoufi
29
65 kgAfewerki
34
63 kgHoller
38
58 kgJanse van Rensburg
42
63 kgPichot
45
72 kgHaddi
46
63 kgHasnaoui
51
80 kgShushemoin
53
62 kgClaude
60
69 kgQuéméneur
69
67 kgSchnaidt
72
70 kg
Weight (KG) →
Result →
80
58
1
72
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GÈNE Yohann | 67 |
| 2 | TLEUBAYEV Ruslan | 70 |
| 5 | STALNOV Nikita | 63 |
| 6 | GRMAY Tsgabu | 63 |
| 8 | AMANUEL Meron | 63 |
| 10 | CHARTEAU Anthony | 67 |
| 11 | VOECKLER Thomas | 71 |
| 18 | JELLOUL Adil | 58 |
| 19 | LAGAB Azzedine | 63 |
| 24 | OKUBAMARIAM Tesfom | 60 |
| 29 | CHAOUFI Tarik | 65 |
| 34 | AFEWERKI Elyas | 63 |
| 38 | HOLLER Nikodemus | 58 |
| 42 | JANSE VAN RENSBURG Jacques | 63 |
| 45 | PICHOT Alexandre | 72 |
| 46 | HADDI Soufiane | 63 |
| 51 | HASNAOUI Maher | 80 |
| 53 | SHUSHEMOIN Alexandr | 62 |
| 60 | CLAUDE Mathieu | 69 |
| 69 | QUÉMÉNEUR Perrig | 67 |
| 72 | SCHNAIDT Fabian | 70 |