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 + 12
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Torres
1
56 kgPöstlberger
2
70 kgPorte
3
62 kgPozzovivo
4
53 kgSiutsou
5
68 kgLanda
6
61 kgDuarte
7
55 kgPetilli
8
65 kgRosa
9
65 kgDupont
10
57 kgTiralongo
11
63 kgMalacarne
12
63 kgBongiorno
13
56 kgSterbini
14
67 kgKönig
15
62 kgCunego
16
58 kgTxurruka
17
58 kgArroyo
18
63 kg
1
56 kgPöstlberger
2
70 kgPorte
3
62 kgPozzovivo
4
53 kgSiutsou
5
68 kgLanda
6
61 kgDuarte
7
55 kgPetilli
8
65 kgRosa
9
65 kgDupont
10
57 kgTiralongo
11
63 kgMalacarne
12
63 kgBongiorno
13
56 kgSterbini
14
67 kgKönig
15
62 kgCunego
16
58 kgTxurruka
17
58 kgArroyo
18
63 kg
Weight (KG) →
Result →
70
53
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TORRES Rodolfo Andrés | 56 |
| 2 | PÖSTLBERGER Lukas | 70 |
| 3 | PORTE Richie | 62 |
| 4 | POZZOVIVO Domenico | 53 |
| 5 | SIUTSOU Kanstantsin | 68 |
| 6 | LANDA Mikel | 61 |
| 7 | DUARTE Fabio | 55 |
| 8 | PETILLI Simone | 65 |
| 9 | ROSA Diego | 65 |
| 10 | DUPONT Hubert | 57 |
| 11 | TIRALONGO Paolo | 63 |
| 12 | MALACARNE Davide | 63 |
| 13 | BONGIORNO Francesco Manuel | 56 |
| 14 | STERBINI Simone | 67 |
| 15 | KÖNIG Leopold | 62 |
| 16 | CUNEGO Damiano | 58 |
| 17 | TXURRUKA Amets | 58 |
| 18 | ARROYO David | 63 |