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 - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Martínez
1
63 kgPogačar
2
66 kgKämna
3
65 kgSivakov
4
70 kgMas
5
61 kgMadouas
6
71 kgHirschi
7
61 kgVanhoucke
8
65 kgEg
9
60 kgBarta
10
61 kgDonovan
11
70 kgHiguita
12
57 kgParet-Peintre
13
64 kgRies
14
67 kgLafay
15
65 kgKnox
16
58 kgO'Connor
17
67 kgAsgreen
18
75 kgCavagna
19
78 kg
1
63 kgPogačar
2
66 kgKämna
3
65 kgSivakov
4
70 kgMas
5
61 kgMadouas
6
71 kgHirschi
7
61 kgVanhoucke
8
65 kgEg
9
60 kgBarta
10
61 kgDonovan
11
70 kgHiguita
12
57 kgParet-Peintre
13
64 kgRies
14
67 kgLafay
15
65 kgKnox
16
58 kgO'Connor
17
67 kgAsgreen
18
75 kgCavagna
19
78 kg
Weight (KG) →
Result →
78
57
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTÍNEZ Daniel Felipe | 63 |
| 2 | POGAČAR Tadej | 66 |
| 3 | KÄMNA Lennard | 65 |
| 4 | SIVAKOV Pavel | 70 |
| 5 | MAS Enric | 61 |
| 6 | MADOUAS Valentin | 71 |
| 7 | HIRSCHI Marc | 61 |
| 8 | VANHOUCKE Harm | 65 |
| 9 | EG Niklas | 60 |
| 10 | BARTA Will | 61 |
| 11 | DONOVAN Mark | 70 |
| 12 | HIGUITA Sergio | 57 |
| 13 | PARET-PEINTRE Aurélien | 64 |
| 14 | RIES Michel | 67 |
| 15 | LAFAY Victor | 65 |
| 16 | KNOX James | 58 |
| 17 | O'CONNOR Ben | 67 |
| 18 | ASGREEN Kasper | 75 |
| 19 | CAVAGNA Rémi | 78 |