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 = 0.3 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Stalnov
1
63 kgVoeckler
2
71 kgTleubayev
4
70 kgCharteau
5
67 kgJelloul
7
58 kgGrmay
10
63 kgLagab
14
63 kgAmanuel
16
63 kgJanse van Rensburg
17
63 kgGène
19
67 kgPichot
20
72 kgHasnaoui
22
80 kgOkubamariam
23
60 kgHoller
24
58 kgHaddi
31
63 kgChaoufi
32
65 kgShushemoin
38
62 kgAfewerki
49
63 kgQuéméneur
56
67 kgSchnaidt
57
70 kgClaude
58
69 kg
1
63 kgVoeckler
2
71 kgTleubayev
4
70 kgCharteau
5
67 kgJelloul
7
58 kgGrmay
10
63 kgLagab
14
63 kgAmanuel
16
63 kgJanse van Rensburg
17
63 kgGène
19
67 kgPichot
20
72 kgHasnaoui
22
80 kgOkubamariam
23
60 kgHoller
24
58 kgHaddi
31
63 kgChaoufi
32
65 kgShushemoin
38
62 kgAfewerki
49
63 kgQuéméneur
56
67 kgSchnaidt
57
70 kgClaude
58
69 kg
Weight (KG) →
Result →
80
58
1
58
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STALNOV Nikita | 63 |
| 2 | VOECKLER Thomas | 71 |
| 4 | TLEUBAYEV Ruslan | 70 |
| 5 | CHARTEAU Anthony | 67 |
| 7 | JELLOUL Adil | 58 |
| 10 | GRMAY Tsgabu | 63 |
| 14 | LAGAB Azzedine | 63 |
| 16 | AMANUEL Meron | 63 |
| 17 | JANSE VAN RENSBURG Jacques | 63 |
| 19 | GÈNE Yohann | 67 |
| 20 | PICHOT Alexandre | 72 |
| 22 | HASNAOUI Maher | 80 |
| 23 | OKUBAMARIAM Tesfom | 60 |
| 24 | HOLLER Nikodemus | 58 |
| 31 | HADDI Soufiane | 63 |
| 32 | CHAOUFI Tarik | 65 |
| 38 | SHUSHEMOIN Alexandr | 62 |
| 49 | AFEWERKI Elyas | 63 |
| 56 | QUÉMÉNEUR Perrig | 67 |
| 57 | SCHNAIDT Fabian | 70 |
| 58 | CLAUDE Mathieu | 69 |