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 = -2.1 * weight + 167
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
Salamin
5
72 kgRooni
24
72 kgJordan
39
61 kgBoucher
43
67 kgReitz
44
57 kgKleibrant
47
61 kg
5
72 kgRooni
24
72 kgJordan
39
61 kgBoucher
43
67 kgReitz
44
57 kgKleibrant
47
61 kg
Weight (KG) →
Result →
72
57
5
47
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SALAMIN Antoine | 72 |
| 24 | ROONI Ron | 72 |
| 39 | JORDAN Ayden | 61 |
| 43 | BOUCHER Hugo | 67 |
| 44 | REITZ Braden | 57 |
| 47 | KLEIBRANT Wilmer | 61 |