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 = 1.9 * weight - 105
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Hinault
1
62 kgMartin
7
62 kgVan Impe
17
59 kgOvion
20
64 kgPoulidor
32
71 kg
1
62 kgMartin
7
62 kgVan Impe
17
59 kgOvion
20
64 kgPoulidor
32
71 kg
Weight (KG) →
Result →
71
59
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 7 | MARTIN Raymond | 62 |
| 17 | VAN IMPE Lucien | 59 |
| 20 | OVION Régis | 64 |
| 32 | POULIDOR Raymond | 71 |