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 - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Oomen
2
65 kgMamykin
3
62 kgKrieger
4
71 kgPerez
5
70 kgPöstlberger
6
70 kgVantomme
7
63 kgGuerin
8
64 kgAntomarchi
9
70 kgGrellier
10
65 kgDamuseau
11
64 kgLaengen
12
79 kgPacher
14
62 kgLammertink
15
68 kgStüssi
16
68 kgTrarieux
17
71 kgHaig
18
67 kgvan der Poel
19
75 kg
2
65 kgMamykin
3
62 kgKrieger
4
71 kgPerez
5
70 kgPöstlberger
6
70 kgVantomme
7
63 kgGuerin
8
64 kgAntomarchi
9
70 kgGrellier
10
65 kgDamuseau
11
64 kgLaengen
12
79 kgPacher
14
62 kgLammertink
15
68 kgStüssi
16
68 kgTrarieux
17
71 kgHaig
18
67 kgvan der Poel
19
75 kg
Weight (KG) →
Result →
79
62
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | OOMEN Sam | 65 |
| 3 | MAMYKIN Matvey | 62 |
| 4 | KRIEGER Alexander | 71 |
| 5 | PEREZ Anthony | 70 |
| 6 | PÖSTLBERGER Lukas | 70 |
| 7 | VANTOMME Maxime | 63 |
| 8 | GUERIN Alexis | 64 |
| 9 | ANTOMARCHI Julien | 70 |
| 10 | GRELLIER Fabien | 65 |
| 11 | DAMUSEAU Thomas | 64 |
| 12 | LAENGEN Vegard Stake | 79 |
| 14 | PACHER Quentin | 62 |
| 15 | LAMMERTINK Steven | 68 |
| 16 | STÜSSI Colin | 68 |
| 17 | TRARIEUX Julien | 71 |
| 18 | HAIG Jack | 67 |
| 19 | VAN DER POEL Mathieu | 75 |