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 + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Boonen
2
82 kgVanlandschoot
7
67 kgGardeyn
8
75 kgDe Groote
11
71 kgCappelle
12
71 kg
2
82 kgVanlandschoot
7
67 kgGardeyn
8
75 kgDe Groote
11
71 kgCappelle
12
71 kg
Weight (KG) →
Result →
82
67
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOONEN Tom | 82 |
| 7 | VANLANDSCHOOT James | 67 |
| 8 | GARDEYN Gorik | 75 |
| 11 | DE GROOTE Thierry | 71 |
| 12 | CAPPELLE Andy | 71 |