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 = 0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Salamin
29
72 kgReitz
30
57 kgJordan
34
61 kgRooni
35
72 kgBoucher
55
67 kg
29
72 kgReitz
30
57 kgJordan
34
61 kgRooni
35
72 kgBoucher
55
67 kg
Weight (KG) →
Result →
72
57
29
55
| # | Rider | Weight (KG) |
|---|---|---|
| 29 | SALAMIN Antoine | 72 |
| 30 | REITZ Braden | 57 |
| 34 | JORDAN Ayden | 61 |
| 35 | ROONI Ron | 72 |
| 55 | BOUCHER Hugo | 67 |