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 + 38
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Mccormick
1
72.5 kgBenoot
2
72 kgVergaerde
3
74 kgPouilly
4
66 kgGesbert
8
63 kg
1
72.5 kgBenoot
2
72 kgVergaerde
3
74 kgPouilly
4
66 kgGesbert
8
63 kg
Weight (KG) →
Result →
74
63
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCORMICK Hayden | 72.5 |
| 2 | BENOOT Tiesj | 72 |
| 3 | VERGAERDE Otto | 74 |
| 4 | POUILLY Félix | 66 |
| 8 | GESBERT Élie | 63 |