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 = -1.6 * weight + 108
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Walton
1
68 kgGomez
4
64.5 kgMoore
7
62 kgMedina
12
64 kgRenaud-Tremblay
15
60 kg
1
68 kgGomez
4
64.5 kgMoore
7
62 kgMedina
12
64 kgRenaud-Tremblay
15
60 kg
Weight (KG) →
Result →
68
60
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WALTON Jonas | 68 |
| 4 | GOMEZ Camilo Andres | 64.5 |
| 7 | MOORE Manu | 62 |
| 12 | MEDINA Joaquin | 64 |
| 15 | RENAUD-TREMBLAY Sasha | 60 |