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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Cardoso
1
56 kgJacobs
2
68 kgVoß
5
66 kgde la Fuente
6
67 kgKostyuk
7
66 kgBystrøm
8
73 kgNeyens
9
74 kgSkujiņš
10
70 kg
1
56 kgJacobs
2
68 kgVoß
5
66 kgde la Fuente
6
67 kgKostyuk
7
66 kgBystrøm
8
73 kgNeyens
9
74 kgSkujiņš
10
70 kg
Weight (KG) →
Result →
74
56
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARDOSO André | 56 |
| 2 | JACOBS Pieter | 68 |
| 5 | VOß Paul | 66 |
| 6 | DE LA FUENTE David | 67 |
| 7 | KOSTYUK Denys | 66 |
| 8 | BYSTRØM Sven Erik | 73 |
| 9 | NEYENS Maarten | 74 |
| 10 | SKUJIŅŠ Toms | 70 |