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 - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Gusev
1
67 kgLequatre
3
64 kgKostyuk
4
66 kgBazayev
7
62 kgMangel
8
83 kgGazvoda
10
72 kgKemps
33
73 kg
1
67 kgLequatre
3
64 kgKostyuk
4
66 kgBazayev
7
62 kgMangel
8
83 kgGazvoda
10
72 kgKemps
33
73 kg
Weight (KG) →
Result →
83
62
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUSEV Vladimir | 67 |
| 3 | LEQUATRE Geoffroy | 64 |
| 4 | KOSTYUK Denys | 66 |
| 7 | BAZAYEV Assan | 62 |
| 8 | MANGEL Laurent | 83 |
| 10 | GAZVODA Gregor | 72 |
| 33 | KEMPS Aaron | 73 |