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 = -1.7 * weight + 153
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Boucher
4
67 kgReitz
8
57 kgRooni
14
72 kgSalamin
28
72 kgTammepuu
58
68 kgJordan
59
61 kgKleibrant
104
61 kg
4
67 kgReitz
8
57 kgRooni
14
72 kgSalamin
28
72 kgTammepuu
58
68 kgJordan
59
61 kgKleibrant
104
61 kg
Weight (KG) →
Result →
72
57
4
104
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BOUCHER Hugo | 67 |
| 8 | REITZ Braden | 57 |
| 14 | ROONI Ron | 72 |
| 28 | SALAMIN Antoine | 72 |
| 58 | TAMMEPUU Riko | 68 |
| 59 | JORDAN Ayden | 61 |
| 104 | KLEIBRANT Wilmer | 61 |