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 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Keough
2
68 kgSellier
3
68 kgPozdnyakov
4
67 kgPutt
5
75 kgShumov
6
65 kgAït El Abdia
8
66 kgMager
9
60 kgŠiškevičius
10
70 kgRumac
13
71 kgAsadov
14
77 kgGaillard
16
64 kgTybor
18
72 kgGutierrez
20
63 kgJourniaux
22
63 kgHrinkow
23
61 kgJones
25
64 kgLahsaini
27
77 kgMarengo
32
69 kg
2
68 kgSellier
3
68 kgPozdnyakov
4
67 kgPutt
5
75 kgShumov
6
65 kgAït El Abdia
8
66 kgMager
9
60 kgŠiškevičius
10
70 kgRumac
13
71 kgAsadov
14
77 kgGaillard
16
64 kgTybor
18
72 kgGutierrez
20
63 kgJourniaux
22
63 kgHrinkow
23
61 kgJones
25
64 kgLahsaini
27
77 kgMarengo
32
69 kg
Weight (KG) →
Result →
77
60
2
32
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KEOUGH Luke | 68 |
| 3 | SELLIER Simon | 68 |
| 4 | POZDNYAKOV Kirill | 67 |
| 5 | PUTT Tanner | 75 |
| 6 | SHUMOV Nikolai | 65 |
| 8 | AÏT EL ABDIA Anass | 66 |
| 9 | MAGER Christian | 60 |
| 10 | ŠIŠKEVIČIUS Paulius | 70 |
| 13 | RUMAC Josip | 71 |
| 14 | ASADOV Elchin | 77 |
| 16 | GAILLARD Marlon | 64 |
| 18 | TYBOR Patrik | 72 |
| 20 | GUTIERREZ José Manuel | 63 |
| 22 | JOURNIAUX Axel | 63 |
| 23 | HRINKOW Dominik | 61 |
| 25 | JONES Chris | 64 |
| 27 | LAHSAINI Mouhssine | 77 |
| 32 | MARENGO Umberto | 69 |