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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Boucher
1
78 kgBarthe
2
65 kgBerthou
3
72 kgKuyckx
4
68 kgVorganov
5
65 kgFlens
7
82 kgMizurov
9
68 kgRoelandts
12
78 kg
1
78 kgBarthe
2
65 kgBerthou
3
72 kgKuyckx
4
68 kgVorganov
5
65 kgFlens
7
82 kgMizurov
9
68 kgRoelandts
12
78 kg
Weight (KG) →
Result →
82
65
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUCHER David | 78 |
| 2 | BARTHE Stéphane | 65 |
| 3 | BERTHOU Eric | 72 |
| 4 | KUYCKX Jan | 68 |
| 5 | VORGANOV Eduard | 65 |
| 7 | FLENS Rick | 82 |
| 9 | MIZUROV Andrey | 68 |
| 12 | ROELANDTS Jürgen | 78 |