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 = -0.4 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Cañardo
2
77 kgDewaele
3
69 kgFrantz
4
78 kgLe Drogo
5
69 kgVervaecke
6
70 kgMourguiat
9
66 kg
2
77 kgDewaele
3
69 kgFrantz
4
78 kgLe Drogo
5
69 kgVervaecke
6
70 kgMourguiat
9
66 kg
Weight (KG) →
Result →
78
66
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CAÑARDO Mariano | 77 |
| 3 | DEWAELE Maurice | 69 |
| 4 | FRANTZ Nicolas | 78 |
| 5 | LE DROGO Paul | 69 |
| 6 | VERVAECKE Julien | 70 |
| 9 | MOURGUIAT Maxime | 66 |