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 = 2.3 * weight - 133
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
Hinault
1
62 kgFignon
4
67 kgKuiper
5
69 kgDelgado
25
64 kgGayant
41
69 kgDidier
42
67 kg
1
62 kgFignon
4
67 kgKuiper
5
69 kgDelgado
25
64 kgGayant
41
69 kgDidier
42
67 kg
Weight (KG) →
Result →
69
62
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 4 | FIGNON Laurent | 67 |
| 5 | KUIPER Hennie | 69 |
| 25 | DELGADO Pedro | 64 |
| 41 | GAYANT Martial | 69 |
| 42 | DIDIER Lucien | 67 |