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 = 0.6 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Haugetun
8
63 kgEkman
27
64 kgSalamin
29
72 kgReitz
30
57 kgJordan
34
61 kgRooni
35
72 kgBoucher
55
67 kg
8
63 kgEkman
27
64 kgSalamin
29
72 kgReitz
30
57 kgJordan
34
61 kgRooni
35
72 kgBoucher
55
67 kg
Weight (KG) →
Result →
72
57
8
55
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | HAUGETUN Kristian | 63 |
| 27 | EKMAN Vilmer | 64 |
| 29 | SALAMIN Antoine | 72 |
| 30 | REITZ Braden | 57 |
| 34 | JORDAN Ayden | 61 |
| 35 | ROONI Ron | 72 |
| 55 | BOUCHER Hugo | 67 |