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 = -0.1 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
den Bakker
1
71 kgCasero
3
72 kgHoffman
4
80 kgVierhouten
5
71 kgJalabert
6
68 kg
1
71 kgCasero
3
72 kgHoffman
4
80 kgVierhouten
5
71 kgJalabert
6
68 kg
Weight (KG) →
Result →
80
68
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEN BAKKER Maarten | 71 |
| 3 | CASERO Ángel Luis | 72 |
| 4 | HOFFMAN Tristan | 80 |
| 5 | VIERHOUTEN Aart | 71 |
| 6 | JALABERT Nicolas | 68 |