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 - 49
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Nishimura
9
59 kgSmith
10
67 kgMaison
24
61 kgOram
28
68 kgVermeulen
32
66 kg
9
59 kgSmith
10
67 kgMaison
24
61 kgOram
28
68 kgVermeulen
32
66 kg
Weight (KG) →
Result →
68
59
9
32
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | NISHIMURA Hiroki | 59 |
| 10 | SMITH Dion | 67 |
| 24 | MAISON Jérémy | 61 |
| 28 | ORAM James | 68 |
| 32 | VERMEULEN Alexey | 66 |