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 - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Burgaudeau
1
61 kgBallabio
2
70 kgPhilipsen
4
75 kgvan der Horst
5
62 kgHuys
6
61 kgGressier
8
67 kgMariault
9
58 kgvan Sintmaartensdijk
10
77 kgvan den Berg
13
72 kgVan Poucke
14
68 kgDekker
16
80 kgVan Tricht
17
64 kgApers
18
70 kgVanhoof
20
75 kgFrehen
21
66 kgBjerg
22
78 kgVerschaeve
23
62 kg
1
61 kgBallabio
2
70 kgPhilipsen
4
75 kgvan der Horst
5
62 kgHuys
6
61 kgGressier
8
67 kgMariault
9
58 kgvan Sintmaartensdijk
10
77 kgvan den Berg
13
72 kgVan Poucke
14
68 kgDekker
16
80 kgVan Tricht
17
64 kgApers
18
70 kgVanhoof
20
75 kgFrehen
21
66 kgBjerg
22
78 kgVerschaeve
23
62 kg
Weight (KG) →
Result →
80
58
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURGAUDEAU Mathieu | 61 |
| 2 | BALLABIO Giacomo | 70 |
| 4 | PHILIPSEN Jasper | 75 |
| 5 | VAN DER HORST Dennis | 62 |
| 6 | HUYS Laurens | 61 |
| 8 | GRESSIER Maxime | 67 |
| 9 | MARIAULT Axel | 58 |
| 10 | VAN SINTMAARTENSDIJK Daan | 77 |
| 13 | VAN DEN BERG Lars | 72 |
| 14 | VAN POUCKE Aaron | 68 |
| 16 | DEKKER David | 80 |
| 17 | VAN TRICHT Stan | 64 |
| 18 | APERS Ruben | 70 |
| 20 | VANHOOF Ward | 75 |
| 21 | FREHEN Jeremy | 66 |
| 22 | BJERG Mikkel | 78 |
| 23 | VERSCHAEVE Viktor | 62 |