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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Amorison
1
70 kgWallays
2
77 kgGoddaert
3
72 kgMørkøv
4
71 kgLindeman
5
69 kgDelaplace
6
65 kg
1
70 kgWallays
2
77 kgGoddaert
3
72 kgMørkøv
4
71 kgLindeman
5
69 kgDelaplace
6
65 kg
Weight (KG) →
Result →
77
65
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AMORISON Frédéric | 70 |
| 2 | WALLAYS Jelle | 77 |
| 3 | GODDAERT Kristof | 72 |
| 4 | MØRKØV Michael | 71 |
| 5 | LINDEMAN Bert-Jan | 69 |
| 6 | DELAPLACE Anthony | 65 |