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 = -107.5 * weight + 7309
This means that on average for every extra kilogram weight a rider loses -107.5 positions in the result.
Fignon
2
67 kgKuiper
12
69 kgDelgado
16
64 kgGayant
19
69 kgDidier
21
67 kgHinault
990
62 kg
2
67 kgKuiper
12
69 kgDelgado
16
64 kgGayant
19
69 kgDidier
21
67 kgHinault
990
62 kg
Weight (KG) →
Result →
69
62
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FIGNON Laurent | 67 |
| 12 | KUIPER Hennie | 69 |
| 16 | DELGADO Pedro | 64 |
| 19 | GAYANT Martial | 69 |
| 21 | DIDIER Lucien | 67 |
| 990 | HINAULT Bernard | 62 |