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 = 0.2 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Vandenbroucke
1
67 kgCamenzind
3
62 kgNardello
4
74 kgVan de Wouwer
5
66 kgHauptman
10
70 kg
1
67 kgCamenzind
3
62 kgNardello
4
74 kgVan de Wouwer
5
66 kgHauptman
10
70 kg
Weight (KG) →
Result →
74
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDENBROUCKE Frank | 67 |
| 3 | CAMENZIND Oscar | 62 |
| 4 | NARDELLO Daniele | 74 |
| 5 | VAN DE WOUWER Kurt | 66 |
| 10 | HAUPTMAN Andrej | 70 |