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 = 0.2 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Rumac
1
71 kgHrinkow
2
61 kgSummerhill
3
70 kgGaillard
6
64 kgJelloul
8
58 kgŠiškevičius
9
70 kgTybor
13
72 kgAït El Abdia
15
66 kgJones
16
64 kgPozdnyakov
17
67 kgJourniaux
17
63 kgGutierrez
18
63 kgLahsaini
20
77 kgMager
21
60 kgNouisri
23
74 kgRivière
26
63 kgMarengo
31
69 kg
1
71 kgHrinkow
2
61 kgSummerhill
3
70 kgGaillard
6
64 kgJelloul
8
58 kgŠiškevičius
9
70 kgTybor
13
72 kgAït El Abdia
15
66 kgJones
16
64 kgPozdnyakov
17
67 kgJourniaux
17
63 kgGutierrez
18
63 kgLahsaini
20
77 kgMager
21
60 kgNouisri
23
74 kgRivière
26
63 kgMarengo
31
69 kg
Weight (KG) →
Result →
77
58
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUMAC Josip | 71 |
| 2 | HRINKOW Dominik | 61 |
| 3 | SUMMERHILL Daniel | 70 |
| 6 | GAILLARD Marlon | 64 |
| 8 | JELLOUL Adil | 58 |
| 9 | ŠIŠKEVIČIUS Paulius | 70 |
| 13 | TYBOR Patrik | 72 |
| 15 | AÏT EL ABDIA Anass | 66 |
| 16 | JONES Chris | 64 |
| 17 | POZDNYAKOV Kirill | 67 |
| 17 | JOURNIAUX Axel | 63 |
| 18 | GUTIERREZ José Manuel | 63 |
| 20 | LAHSAINI Mouhssine | 77 |
| 21 | MAGER Christian | 60 |
| 23 | NOUISRI Ali | 74 |
| 26 | RIVIÈRE David | 63 |
| 31 | MARENGO Umberto | 69 |