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 - 17
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Sørensen
1
70 kgRebellin
3
63 kgOlano
4
70 kgZamana
5
74 kgOdriozola
6
70 kgUshakov
7
73 kgden Bakker
8
71 kg
1
70 kgRebellin
3
63 kgOlano
4
70 kgZamana
5
74 kgOdriozola
6
70 kgUshakov
7
73 kgden Bakker
8
71 kg
Weight (KG) →
Result →
74
63
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SØRENSEN Rolf | 70 |
| 3 | REBELLIN Davide | 63 |
| 4 | OLANO Abraham | 70 |
| 5 | ZAMANA Cezary | 74 |
| 6 | ODRIOZOLA Jon | 70 |
| 7 | USHAKOV Serhiy | 73 |
| 8 | DEN BAKKER Maarten | 71 |