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 = -1.1 * weight + 123
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Rooni
4
72 kgBoucher
26
67 kgReitz
43
57 kgJordan
58
61 kgSalamin
73
72 kgTammepuu
74
68 kgKleibrant
78
61 kg
4
72 kgBoucher
26
67 kgReitz
43
57 kgJordan
58
61 kgSalamin
73
72 kgTammepuu
74
68 kgKleibrant
78
61 kg
Weight (KG) →
Result →
72
57
4
78
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ROONI Ron | 72 |
| 26 | BOUCHER Hugo | 67 |
| 43 | REITZ Braden | 57 |
| 58 | JORDAN Ayden | 61 |
| 73 | SALAMIN Antoine | 72 |
| 74 | TAMMEPUU Riko | 68 |
| 78 | KLEIBRANT Wilmer | 61 |