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 = 1.2 * weight - 54
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Charteau
1
67 kgJelloul
3
58 kgStalnov
4
63 kgGène
5
67 kgLagab
9
63 kgGrmay
11
63 kgAmanuel
14
63 kgChaoufi
18
65 kgOkubamariam
19
60 kgHoller
24
58 kgPichot
25
72 kgVoeckler
26
71 kgTleubayev
28
70 kgAfewerki
32
63 kgJanse van Rensburg
39
63 kgHasnaoui
41
80 kgHaddi
43
63 kgShushemoin
47
62 kgQuéméneur
48
67 kgClaude
51
69 kgSchnaidt
62
70 kg
1
67 kgJelloul
3
58 kgStalnov
4
63 kgGène
5
67 kgLagab
9
63 kgGrmay
11
63 kgAmanuel
14
63 kgChaoufi
18
65 kgOkubamariam
19
60 kgHoller
24
58 kgPichot
25
72 kgVoeckler
26
71 kgTleubayev
28
70 kgAfewerki
32
63 kgJanse van Rensburg
39
63 kgHasnaoui
41
80 kgHaddi
43
63 kgShushemoin
47
62 kgQuéméneur
48
67 kgClaude
51
69 kgSchnaidt
62
70 kg
Weight (KG) →
Result →
80
58
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHARTEAU Anthony | 67 |
| 3 | JELLOUL Adil | 58 |
| 4 | STALNOV Nikita | 63 |
| 5 | GÈNE Yohann | 67 |
| 9 | LAGAB Azzedine | 63 |
| 11 | GRMAY Tsgabu | 63 |
| 14 | AMANUEL Meron | 63 |
| 18 | CHAOUFI Tarik | 65 |
| 19 | OKUBAMARIAM Tesfom | 60 |
| 24 | HOLLER Nikodemus | 58 |
| 25 | PICHOT Alexandre | 72 |
| 26 | VOECKLER Thomas | 71 |
| 28 | TLEUBAYEV Ruslan | 70 |
| 32 | AFEWERKI Elyas | 63 |
| 39 | JANSE VAN RENSBURG Jacques | 63 |
| 41 | HASNAOUI Maher | 80 |
| 43 | HADDI Soufiane | 63 |
| 47 | SHUSHEMOIN Alexandr | 62 |
| 48 | QUÉMÉNEUR Perrig | 67 |
| 51 | CLAUDE Mathieu | 69 |
| 62 | SCHNAIDT Fabian | 70 |