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.
Jalabert
1
66 kgFrattini
3
60 kgBlanco
4
66 kgBerzin
5
64 kgBreukink
6
70 kgEscartín
8
61 kgVandenbroucke
10
67 kg
1
66 kgFrattini
3
60 kgBlanco
4
66 kgBerzin
5
64 kgBreukink
6
70 kgEscartín
8
61 kgVandenbroucke
10
67 kg
Weight (KG) →
Result →
70
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JALABERT Laurent | 66 |
| 3 | FRATTINI Francesco | 60 |
| 4 | BLANCO Santiago | 66 |
| 5 | BERZIN Evgeni | 64 |
| 6 | BREUKINK Erik | 70 |
| 8 | ESCARTÍN Fernando | 61 |
| 10 | VANDENBROUCKE Frank | 67 |