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 = 0.6 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Nilsson
6
63 kgViejo
9
64 kgFernández
10
68 kgVan Impe
17
59 kgBittinger
26
69 kg
6
63 kgViejo
9
64 kgFernández
10
68 kgVan Impe
17
59 kgBittinger
26
69 kg
Weight (KG) →
Result →
69
59
6
26
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | NILSSON Sven-Åke | 63 |
| 9 | VIEJO José Luis | 64 |
| 10 | FERNÁNDEZ Juan | 68 |
| 17 | VAN IMPE Lucien | 59 |
| 26 | BITTINGER René | 69 |