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 = 0.4 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Magnusson
2
70 kgBossoni
4
62 kgPlanckaert
5
70 kgvan Heeswijk
8
73 kgde Jongh
9
76 kgHoffman
10
80 kg
2
70 kgBossoni
4
62 kgPlanckaert
5
70 kgvan Heeswijk
8
73 kgde Jongh
9
76 kgHoffman
10
80 kg
Weight (KG) →
Result →
80
62
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAGNUSSON Glenn | 70 |
| 4 | BOSSONI Paolo | 62 |
| 5 | PLANCKAERT Jo | 70 |
| 8 | VAN HEESWIJK Max | 73 |
| 9 | DE JONGH Steven | 76 |
| 10 | HOFFMAN Tristan | 80 |