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 = 0.7 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Chaoufi
1
65 kgVoeckler
2
71 kgCharteau
3
67 kgOkubamariam
4
60 kgGène
5
67 kgAmanuel
8
63 kgAfewerki
9
63 kgPichot
10
72 kgJelloul
13
58 kgTleubayev
22
70 kgStalnov
23
63 kgLagab
26
63 kgHoller
28
58 kgGrmay
39
63 kgQuéméneur
45
67 kgJanse van Rensburg
48
63 kgHasnaoui
50
80 kgShushemoin
58
62 kgClaude
59
69 kgHaddi
64
63 kgSchnaidt
71
70 kg
1
65 kgVoeckler
2
71 kgCharteau
3
67 kgOkubamariam
4
60 kgGène
5
67 kgAmanuel
8
63 kgAfewerki
9
63 kgPichot
10
72 kgJelloul
13
58 kgTleubayev
22
70 kgStalnov
23
63 kgLagab
26
63 kgHoller
28
58 kgGrmay
39
63 kgQuéméneur
45
67 kgJanse van Rensburg
48
63 kgHasnaoui
50
80 kgShushemoin
58
62 kgClaude
59
69 kgHaddi
64
63 kgSchnaidt
71
70 kg
Weight (KG) →
Result →
80
58
1
71
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAOUFI Tarik | 65 |
| 2 | VOECKLER Thomas | 71 |
| 3 | CHARTEAU Anthony | 67 |
| 4 | OKUBAMARIAM Tesfom | 60 |
| 5 | GÈNE Yohann | 67 |
| 8 | AMANUEL Meron | 63 |
| 9 | AFEWERKI Elyas | 63 |
| 10 | PICHOT Alexandre | 72 |
| 13 | JELLOUL Adil | 58 |
| 22 | TLEUBAYEV Ruslan | 70 |
| 23 | STALNOV Nikita | 63 |
| 26 | LAGAB Azzedine | 63 |
| 28 | HOLLER Nikodemus | 58 |
| 39 | GRMAY Tsgabu | 63 |
| 45 | QUÉMÉNEUR Perrig | 67 |
| 48 | JANSE VAN RENSBURG Jacques | 63 |
| 50 | HASNAOUI Maher | 80 |
| 58 | SHUSHEMOIN Alexandr | 62 |
| 59 | CLAUDE Mathieu | 69 |
| 64 | HADDI Soufiane | 63 |
| 71 | SCHNAIDT Fabian | 70 |