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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Cortjens
1
76 kgDeweirdt
4
69 kgDe Pooter
5
66 kgPaulus
7
62 kgHohmann
9
73 kgDe Decker
11
73 kgLaurance
12
63 kg
1
76 kgDeweirdt
4
69 kgDe Pooter
5
66 kgPaulus
7
62 kgHohmann
9
73 kgDe Decker
11
73 kgLaurance
12
63 kg
Weight (KG) →
Result →
76
62
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORTJENS Ryan | 76 |
| 4 | DEWEIRDT Siebe | 69 |
| 5 | DE POOTER Dries | 66 |
| 7 | PAULUS Milan | 62 |
| 9 | HOHMANN Lars | 73 |
| 11 | DE DECKER Tijl | 73 |
| 12 | LAURANCE Axel | 63 |