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 + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Kowalski
1
67 kgVan Gestel
4
74 kgNisu
5
84 kgHoelgaard
6
74 kgPouilly
8
66 kgVan Dalen
9
70 kg
1
67 kgVan Gestel
4
74 kgNisu
5
84 kgHoelgaard
6
74 kgPouilly
8
66 kgVan Dalen
9
70 kg
Weight (KG) →
Result →
84
66
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOWALSKI Dylan | 67 |
| 4 | VAN GESTEL Dries | 74 |
| 5 | NISU Oskar | 84 |
| 6 | HOELGAARD Markus | 74 |
| 8 | POUILLY Félix | 66 |
| 9 | VAN DALEN Jason | 70 |