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 + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Couture
4
67 kgRenaud-Tremblay
5
60 kgValenti
8
69 kgMoore
11
62 kgPeloquin
14
67 kgRaymond
23
67 kgSato
37
63 kg
4
67 kgRenaud-Tremblay
5
60 kgValenti
8
69 kgMoore
11
62 kgPeloquin
14
67 kgRaymond
23
67 kgSato
37
63 kg
Weight (KG) →
Result →
69
60
4
37
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | COUTURE Samuel | 67 |
| 5 | RENAUD-TREMBLAY Sasha | 60 |
| 8 | VALENTI Luke | 69 |
| 11 | MOORE Manu | 62 |
| 14 | PELOQUIN Leonard | 67 |
| 23 | RAYMOND Louis | 67 |
| 37 | SATO Marc | 63 |