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 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Zabel
1
69 kgKirsipuu
2
80 kgSteels
3
73 kgVierhouten
5
71 kgJalabert
7
68 kgHoffman
8
80 kgPeers
10
73 kg
1
69 kgKirsipuu
2
80 kgSteels
3
73 kgVierhouten
5
71 kgJalabert
7
68 kgHoffman
8
80 kgPeers
10
73 kg
Weight (KG) →
Result →
80
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABEL Erik | 69 |
| 2 | KIRSIPUU Jaan | 80 |
| 3 | STEELS Tom | 73 |
| 5 | VIERHOUTEN Aart | 71 |
| 7 | JALABERT Nicolas | 68 |
| 8 | HOFFMAN Tristan | 80 |
| 10 | PEERS Chris | 73 |