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 = 0.8 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Schnaidt
1
70 kgGène
2
67 kgJelloul
3
58 kgAmanuel
4
63 kgStalnov
5
63 kgCharteau
10
67 kgHaddi
12
63 kgHoller
14
58 kgAfewerki
17
63 kgHasnaoui
20
80 kgLagab
21
63 kgVoeckler
24
71 kgChaoufi
27
65 kgOkubamariam
29
60 kgGrmay
32
63 kgClaude
37
69 kgShushemoin
50
62 kgQuéméneur
57
67 kgPichot
60
72 kgJanse van Rensburg
61
63 kgTleubayev
63
70 kg
1
70 kgGène
2
67 kgJelloul
3
58 kgAmanuel
4
63 kgStalnov
5
63 kgCharteau
10
67 kgHaddi
12
63 kgHoller
14
58 kgAfewerki
17
63 kgHasnaoui
20
80 kgLagab
21
63 kgVoeckler
24
71 kgChaoufi
27
65 kgOkubamariam
29
60 kgGrmay
32
63 kgClaude
37
69 kgShushemoin
50
62 kgQuéméneur
57
67 kgPichot
60
72 kgJanse van Rensburg
61
63 kgTleubayev
63
70 kg
Weight (KG) →
Result →
80
58
1
63
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHNAIDT Fabian | 70 |
| 2 | GÈNE Yohann | 67 |
| 3 | JELLOUL Adil | 58 |
| 4 | AMANUEL Meron | 63 |
| 5 | STALNOV Nikita | 63 |
| 10 | CHARTEAU Anthony | 67 |
| 12 | HADDI Soufiane | 63 |
| 14 | HOLLER Nikodemus | 58 |
| 17 | AFEWERKI Elyas | 63 |
| 20 | HASNAOUI Maher | 80 |
| 21 | LAGAB Azzedine | 63 |
| 24 | VOECKLER Thomas | 71 |
| 27 | CHAOUFI Tarik | 65 |
| 29 | OKUBAMARIAM Tesfom | 60 |
| 32 | GRMAY Tsgabu | 63 |
| 37 | CLAUDE Mathieu | 69 |
| 50 | SHUSHEMOIN Alexandr | 62 |
| 57 | QUÉMÉNEUR Perrig | 67 |
| 60 | PICHOT Alexandre | 72 |
| 61 | JANSE VAN RENSBURG Jacques | 63 |
| 63 | TLEUBAYEV Ruslan | 70 |