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 = -1.7 * weight + 141
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Van Hooydonck
2
78 kgDe Gendt
3
75 kgSeye
4
77 kgLeysen
6
78 kgGoolaerts
7
80 kgPlanckaert
24
69 kg
2
78 kgDe Gendt
3
75 kgSeye
4
77 kgLeysen
6
78 kgGoolaerts
7
80 kgPlanckaert
24
69 kg
Weight (KG) →
Result →
80
69
2
24
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN HOOYDONCK Nathan | 78 |
| 3 | DE GENDT Aimé | 75 |
| 4 | SEYE Guillaume | 77 |
| 6 | LEYSEN Senne | 78 |
| 7 | GOOLAERTS Michael | 80 |
| 24 | PLANCKAERT Emiel | 69 |