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 = -2.3 * weight + 185
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Janssen
3
76 kgVan Looy
10
73 kgGodefroot
21
73 kgBalmamion
25
67 kgSchleck
28
72 kg
3
76 kgVan Looy
10
73 kgGodefroot
21
73 kgBalmamion
25
67 kgSchleck
28
72 kg
Weight (KG) →
Result →
76
67
3
28
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JANSSEN Jan | 76 |
| 10 | VAN LOOY Rik | 73 |
| 21 | GODEFROOT Walter | 73 |
| 25 | BALMAMION Franco | 67 |
| 28 | SCHLECK Johny | 72 |