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 = -0.5 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Gène
1
67 kgSchnaidt
3
70 kgTleubayev
4
70 kgChaoufi
9
65 kgPichot
10
72 kgAmanuel
11
63 kgAfewerki
13
63 kgHasnaoui
15
80 kgHaddi
16
63 kgHoller
17
58 kgJelloul
18
58 kgJanse van Rensburg
22
63 kgClaude
35
69 kgQuéméneur
36
67 kgLagab
40
63 kgGrmay
45
63 kgStalnov
46
63 kgOkubamariam
54
60 kgCharteau
59
67 kgShushemoin
62
62 kgVoeckler
80
71 kg
1
67 kgSchnaidt
3
70 kgTleubayev
4
70 kgChaoufi
9
65 kgPichot
10
72 kgAmanuel
11
63 kgAfewerki
13
63 kgHasnaoui
15
80 kgHaddi
16
63 kgHoller
17
58 kgJelloul
18
58 kgJanse van Rensburg
22
63 kgClaude
35
69 kgQuéméneur
36
67 kgLagab
40
63 kgGrmay
45
63 kgStalnov
46
63 kgOkubamariam
54
60 kgCharteau
59
67 kgShushemoin
62
62 kgVoeckler
80
71 kg
Weight (KG) →
Result →
80
58
1
80
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GÈNE Yohann | 67 |
| 3 | SCHNAIDT Fabian | 70 |
| 4 | TLEUBAYEV Ruslan | 70 |
| 9 | CHAOUFI Tarik | 65 |
| 10 | PICHOT Alexandre | 72 |
| 11 | AMANUEL Meron | 63 |
| 13 | AFEWERKI Elyas | 63 |
| 15 | HASNAOUI Maher | 80 |
| 16 | HADDI Soufiane | 63 |
| 17 | HOLLER Nikodemus | 58 |
| 18 | JELLOUL Adil | 58 |
| 22 | JANSE VAN RENSBURG Jacques | 63 |
| 35 | CLAUDE Mathieu | 69 |
| 36 | QUÉMÉNEUR Perrig | 67 |
| 40 | LAGAB Azzedine | 63 |
| 45 | GRMAY Tsgabu | 63 |
| 46 | STALNOV Nikita | 63 |
| 54 | OKUBAMARIAM Tesfom | 60 |
| 59 | CHARTEAU Anthony | 67 |
| 62 | SHUSHEMOIN Alexandr | 62 |
| 80 | VOECKLER Thomas | 71 |