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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
van der Poel
2
70 kgPankov
7
72 kgDe Clercq
8
66 kgvan der Steen
9
70 kgMifune
10
70 kg
2
70 kgPankov
7
72 kgDe Clercq
8
66 kgvan der Steen
9
70 kgMifune
10
70 kg
Weight (KG) →
Result →
72
66
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN DER POEL Adrie | 70 |
| 7 | PANKOV Oleg | 72 |
| 8 | DE CLERCQ Mario | 66 |
| 9 | VAN DER STEEN Niels | 70 |
| 10 | MIFUNE Masahiko | 70 |