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.
van Bon
1
72 kgKnaven
2
68 kgDekker
3
66 kgMichaelsen
4
79 kgPeers
7
73 kgCorvers
8
77 kg
1
72 kgKnaven
2
68 kgDekker
3
66 kgMichaelsen
4
79 kgPeers
7
73 kgCorvers
8
77 kg
Weight (KG) →
Result →
79
66
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN BON Léon | 72 |
| 2 | KNAVEN Servais | 68 |
| 3 | DEKKER Erik | 66 |
| 4 | MICHAELSEN Lars | 79 |
| 7 | PEERS Chris | 73 |
| 8 | CORVERS Frank | 77 |