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 = -0.6 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Groves
1
76 kgBenfatto
2
71 kgLizde
4
70 kgFreiberg
5
82 kgOvechkin
6
61 kgMolano
7
72 kgMareczko
8
67 kgOsorio
9
65 kgMosca
10
65 kgCima
11
70 kgMarque
12
68 kgMudgway
14
65 kgSpreafico
15
69 kgGalarreta
17
77 kgAular
18
65 kgPeñalver
19
67 kgSuaza
20
66 kgHiguita
21
57 kgGoh
26
54 kg
1
76 kgBenfatto
2
71 kgLizde
4
70 kgFreiberg
5
82 kgOvechkin
6
61 kgMolano
7
72 kgMareczko
8
67 kgOsorio
9
65 kgMosca
10
65 kgCima
11
70 kgMarque
12
68 kgMudgway
14
65 kgSpreafico
15
69 kgGalarreta
17
77 kgAular
18
65 kgPeñalver
19
67 kgSuaza
20
66 kgHiguita
21
57 kgGoh
26
54 kg
Weight (KG) →
Result →
82
54
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROVES Kaden | 76 |
| 2 | BENFATTO Marco | 71 |
| 4 | LIZDE Seid | 70 |
| 5 | FREIBERG Michael | 82 |
| 6 | OVECHKIN Artem | 61 |
| 7 | MOLANO Juan Sebastián | 72 |
| 8 | MARECZKO Jakub | 67 |
| 9 | OSORIO Juan Felipe | 65 |
| 10 | MOSCA Jacopo | 65 |
| 11 | CIMA Damiano | 70 |
| 12 | MARQUE Alejandro Manuel | 68 |
| 14 | MUDGWAY Luke | 65 |
| 15 | SPREAFICO Matteo | 69 |
| 17 | GALARRETA David | 77 |
| 18 | AULAR Orluis | 65 |
| 19 | PEÑALVER Manuel | 67 |
| 20 | SUAZA Bernardo | 66 |
| 21 | HIGUITA Sergio | 57 |
| 26 | GOH Choon Huat | 54 |