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 = -0.8 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Peers
2
73 kgMcEwen
3
67 kgVerheyen
6
68 kgNazon
7
68 kgJalabert
9
68 kgOrdowski
12
59 kgHinault
15
63 kg
2
73 kgMcEwen
3
67 kgVerheyen
6
68 kgNazon
7
68 kgJalabert
9
68 kgOrdowski
12
59 kgHinault
15
63 kg
Weight (KG) →
Result →
73
59
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PEERS Chris | 73 |
| 3 | MCEWEN Robbie | 67 |
| 6 | VERHEYEN Geert | 68 |
| 7 | NAZON Damien | 68 |
| 9 | JALABERT Nicolas | 68 |
| 12 | ORDOWSKI Volker | 59 |
| 15 | HINAULT Sébastien | 63 |