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 = 0.5 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Paquet
1
60 kgMiny
3
62 kgWenzel
4
68 kgKess
6
70 kgUry
7
68 kgBreser
8
73 kg
1
60 kgMiny
3
62 kgWenzel
4
68 kgKess
6
70 kgUry
7
68 kgBreser
8
73 kg
Weight (KG) →
Result →
73
60
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAQUET Tom | 60 |
| 3 | MINY Gilles | 62 |
| 4 | WENZEL Mats | 68 |
| 6 | KESS Alexandre | 70 |
| 7 | URY Noé | 68 |
| 8 | BRESER Pol | 73 |