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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Grégoire
1
64 kgVauquelin
2
69 kgLe Berre
3
68 kgAlaphilippe
5
62 kgCastrillo
6
74 kgO'Connor
7
67 kgMohorič
8
71 kg
1
64 kgVauquelin
2
69 kgLe Berre
3
68 kgAlaphilippe
5
62 kgCastrillo
6
74 kgO'Connor
7
67 kgMohorič
8
71 kg
Weight (KG) →
Result →
74
62
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRÉGOIRE Romain | 64 |
| 2 | VAUQUELIN Kévin | 69 |
| 3 | LE BERRE Mathis | 68 |
| 5 | ALAPHILIPPE Julian | 62 |
| 6 | CASTRILLO Pablo | 74 |
| 7 | O'CONNOR Ben | 67 |
| 8 | MOHORIČ Matej | 71 |