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 = -0.7 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Oram
4
68 kgVermeulen
6
66 kgSmith
7
67 kgDaniel
11
64 kgSchreurs
13
69 kgWilliams
16
73 kgPerry
18
71 kgMaison
31
61 kg
4
68 kgVermeulen
6
66 kgSmith
7
67 kgDaniel
11
64 kgSchreurs
13
69 kgWilliams
16
73 kgPerry
18
71 kgMaison
31
61 kg
Weight (KG) →
Result →
73
61
4
31
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ORAM James | 68 |
| 6 | VERMEULEN Alexey | 66 |
| 7 | SMITH Dion | 67 |
| 11 | DANIEL Gregory | 64 |
| 13 | SCHREURS Hamish | 69 |
| 16 | WILLIAMS Tyler | 73 |
| 18 | PERRY Benjamin | 71 |
| 31 | MAISON Jérémy | 61 |