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 = 1.8 * weight - 102
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Fignon
2
67 kgDelgado
8
64 kgKuiper
9
69 kgHinault
11
62 kgDidier
17
67 kgGayant
37
69 kg
2
67 kgDelgado
8
64 kgKuiper
9
69 kgHinault
11
62 kgDidier
17
67 kgGayant
37
69 kg
Weight (KG) →
Result →
69
62
2
37
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FIGNON Laurent | 67 |
| 8 | DELGADO Pedro | 64 |
| 9 | KUIPER Hennie | 69 |
| 11 | HINAULT Bernard | 62 |
| 17 | DIDIER Lucien | 67 |
| 37 | GAYANT Martial | 69 |