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 + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Hoffman
2
80 kgFeys
6
80 kgJalabert
7
68 kgVierhouten
8
71 kgAuger
9
78 kgTolhoek
10
63 kg
2
80 kgFeys
6
80 kgJalabert
7
68 kgVierhouten
8
71 kgAuger
9
78 kgTolhoek
10
63 kg
Weight (KG) →
Result →
80
63
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HOFFMAN Tristan | 80 |
| 6 | FEYS Wim | 80 |
| 7 | JALABERT Nicolas | 68 |
| 8 | VIERHOUTEN Aart | 71 |
| 9 | AUGER Ludovic | 78 |
| 10 | TOLHOEK Patrick | 63 |