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 = -0.3 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Almutaiwei
1
74 kgBregnhøj
4
63 kgMeijers
5
68 kgKazama
6
61 kgBudiak
7
53 kgMiltiadis
8
74 kgLagab
11
63 kgPhounsavath
13
67 kgChawchiangkwang
14
64 kgBonnefoix
15
60 kgKagimu
17
63 kgBennett
18
58 kgvan Engelen
19
51 kgDe Schampheleire
20
79 kgSirironnachai
22
61 kgLozano
26
65 kgMuhoza
28
62 kgSessler
30
58 kgYamada
32
63 kg
1
74 kgBregnhøj
4
63 kgMeijers
5
68 kgKazama
6
61 kgBudiak
7
53 kgMiltiadis
8
74 kgLagab
11
63 kgPhounsavath
13
67 kgChawchiangkwang
14
64 kgBonnefoix
15
60 kgKagimu
17
63 kgBennett
18
58 kgvan Engelen
19
51 kgDe Schampheleire
20
79 kgSirironnachai
22
61 kgLozano
26
65 kgMuhoza
28
62 kgSessler
30
58 kgYamada
32
63 kg
Weight (KG) →
Result →
79
51
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALMUTAIWEI Mohammad | 74 |
| 4 | BREGNHØJ Mathias | 63 |
| 5 | MEIJERS Jeroen | 68 |
| 6 | KAZAMA Shoma | 61 |
| 7 | BUDIAK Anatolii | 53 |
| 8 | MILTIADIS Andreas | 74 |
| 11 | LAGAB Azzedine | 63 |
| 13 | PHOUNSAVATH Ariya | 67 |
| 14 | CHAWCHIANGKWANG Peerapol | 64 |
| 15 | BONNEFOIX Edouard | 60 |
| 17 | KAGIMU Charles | 63 |
| 18 | BENNETT Stéfan | 58 |
| 19 | VAN ENGELEN Adne | 51 |
| 20 | DE SCHAMPHELEIRE Jonas | 79 |
| 22 | SIRIRONNACHAI Sarawut | 61 |
| 26 | LOZANO Juan Pedro | 65 |
| 28 | MUHOZA Eric | 62 |
| 30 | SESSLER Nícolas | 58 |
| 32 | YAMADA Takumi | 63 |