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 = 0.7 * weight - 38
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Vlasov
1
68 kgHamilton
2
71 kgJorgenson
3
69 kgParet-Peintre
4
64 kgMäder
5
61 kgVanhoucke
6
65 kgHindley
7
60 kgPowless
8
67 kgGodon
9
74 kgSobrero
10
63 kgTouzé
11
69 kgOldani
12
65 kgBarthe
13
70 kgBissegger
14
78 kgDewulf
15
74 kgPedersen
16
71 kgOliveira
17
66 kgEekhoff
18
75 kgVermeersch
19
81 kgLeysen
20
78 kgRutsch
21
82 kgMeeus
22
80 kg
1
68 kgHamilton
2
71 kgJorgenson
3
69 kgParet-Peintre
4
64 kgMäder
5
61 kgVanhoucke
6
65 kgHindley
7
60 kgPowless
8
67 kgGodon
9
74 kgSobrero
10
63 kgTouzé
11
69 kgOldani
12
65 kgBarthe
13
70 kgBissegger
14
78 kgDewulf
15
74 kgPedersen
16
71 kgOliveira
17
66 kgEekhoff
18
75 kgVermeersch
19
81 kgLeysen
20
78 kgRutsch
21
82 kgMeeus
22
80 kg
Weight (KG) →
Result →
82
60
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VLASOV Aleksandr | 68 |
| 2 | HAMILTON Lucas | 71 |
| 3 | JORGENSON Matteo | 69 |
| 4 | PARET-PEINTRE Aurélien | 64 |
| 5 | MÄDER Gino | 61 |
| 6 | VANHOUCKE Harm | 65 |
| 7 | HINDLEY Jai | 60 |
| 8 | POWLESS Neilson | 67 |
| 9 | GODON Dorian | 74 |
| 10 | SOBRERO Matteo | 63 |
| 11 | TOUZÉ Damien | 69 |
| 12 | OLDANI Stefano | 65 |
| 13 | BARTHE Cyril | 70 |
| 14 | BISSEGGER Stefan | 78 |
| 15 | DEWULF Stan | 74 |
| 16 | PEDERSEN Casper | 71 |
| 17 | OLIVEIRA Rui | 66 |
| 18 | EEKHOFF Nils | 75 |
| 19 | VERMEERSCH Florian | 81 |
| 20 | LEYSEN Senne | 78 |
| 21 | RUTSCH Jonas | 82 |
| 22 | MEEUS Jordi | 80 |