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 - 87
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Nishimura
9
59 kgSmith
17
67 kgMaison
22
61 kgSchreurs
27
69 kgOram
33
68 kgVermeulen
43
66 kg
9
59 kgSmith
17
67 kgMaison
22
61 kgSchreurs
27
69 kgOram
33
68 kgVermeulen
43
66 kg
Weight (KG) →
Result →
69
59
9
43
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | NISHIMURA Hiroki | 59 |
| 17 | SMITH Dion | 67 |
| 22 | MAISON Jérémy | 61 |
| 27 | SCHREURS Hamish | 69 |
| 33 | ORAM James | 68 |
| 43 | VERMEULEN Alexey | 66 |