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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Rasmussen
1
88 kgGalland
2
62 kgVachon
5
65 kgBlot
6
71 kgDe Backer
7
73 kgNeirynck
15
78 kg
1
88 kgGalland
2
62 kgVachon
5
65 kgBlot
6
71 kgDe Backer
7
73 kgNeirynck
15
78 kg
Weight (KG) →
Result →
88
62
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RASMUSSEN Alex | 88 |
| 2 | GALLAND Jérémie | 62 |
| 5 | VACHON Florian | 65 |
| 6 | BLOT Guillaume | 71 |
| 7 | DE BACKER Bert | 73 |
| 15 | NEIRYNCK Stijn | 78 |