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 = 0.5 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Jansen
14
63 kgMahďar
22
61 kgLéonien
27
58 kgCully
37
73 kgMunton
42
60 kg
14
63 kgMahďar
22
61 kgLéonien
27
58 kgCully
37
73 kgMunton
42
60 kg
Weight (KG) →
Result →
73
58
14
42
| # | Rider | Weight (KG) |
|---|---|---|
| 14 | JANSEN Tom | 63 |
| 22 | MAHĎAR Martin | 61 |
| 27 | LÉONIEN Alexandre | 58 |
| 37 | CULLY Ján Andrej | 73 |
| 42 | MUNTON Byron | 60 |