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 = 0.7 * weight - 41
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Holmes
1
64 kgSchoofs
2
68 kgZahálka
5
69 kgScheldeman
6
66 kgVan Kerckhove
7
70 kg
1
64 kgSchoofs
2
68 kgZahálka
5
69 kgScheldeman
6
66 kgVan Kerckhove
7
70 kg
Weight (KG) →
Result →
70
64
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOLMES Wil | 64 |
| 2 | SCHOOFS Jasper | 68 |
| 5 | ZAHÁLKA Štěpán | 69 |
| 6 | SCHELDEMAN Xander | 66 |
| 7 | VAN KERCKHOVE Matisse | 70 |