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 + 21
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Vandenbroucke
1
67 kgCamenzind
2
62 kgNardello
3
74 kgVan de Wouwer
4
66 kgGabriel
7
60 kgBonča
8
63 kg
1
67 kgCamenzind
2
62 kgNardello
3
74 kgVan de Wouwer
4
66 kgGabriel
7
60 kgBonča
8
63 kg
Weight (KG) →
Result →
74
60
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDENBROUCKE Frank | 67 |
| 2 | CAMENZIND Oscar | 62 |
| 3 | NARDELLO Daniele | 74 |
| 4 | VAN DE WOUWER Kurt | 66 |
| 7 | GABRIEL Frédéric | 60 |
| 8 | BONČA Valter | 63 |