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 + 16
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 kgAït El Abdia
7
66 kgMager
8
60 kgŠiškevičius
9
70 kgShumov
11
65 kgRumac
12
71 kgAsadov
13
77 kgGaillard
15
64 kgTybor
17
72 kgGutierrez
18
63 kgJourniaux
20
63 kgHrinkow
21
61 kgJones
22
64 kgLahsaini
25
77 kgMarengo
33
69 kg
2
68 kgSellier
3
68 kgPozdnyakov
4
67 kgPutt
5
75 kgAït El Abdia
7
66 kgMager
8
60 kgŠiškevičius
9
70 kgShumov
11
65 kgRumac
12
71 kgAsadov
13
77 kgGaillard
15
64 kgTybor
17
72 kgGutierrez
18
63 kgJourniaux
20
63 kgHrinkow
21
61 kgJones
22
64 kgLahsaini
25
77 kgMarengo
33
69 kg
Weight (KG) →
Result →
77
60
2
33
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KEOUGH Luke | 68 |
| 3 | SELLIER Simon | 68 |
| 4 | POZDNYAKOV Kirill | 67 |
| 5 | PUTT Tanner | 75 |
| 7 | AÏT EL ABDIA Anass | 66 |
| 8 | MAGER Christian | 60 |
| 9 | ŠIŠKEVIČIUS Paulius | 70 |
| 11 | SHUMOV Nikolai | 65 |
| 12 | RUMAC Josip | 71 |
| 13 | ASADOV Elchin | 77 |
| 15 | GAILLARD Marlon | 64 |
| 17 | TYBOR Patrik | 72 |
| 18 | GUTIERREZ José Manuel | 63 |
| 20 | JOURNIAUX Axel | 63 |
| 21 | HRINKOW Dominik | 61 |
| 22 | JONES Chris | 64 |
| 25 | LAHSAINI Mouhssine | 77 |
| 33 | MARENGO Umberto | 69 |