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 = 1.5 * weight - 86
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Hinault
1
62 kgKuiper
5
69 kgFignon
7
67 kgDelgado
15
64 kgDidier
19
67 kgGayant
25
69 kg
1
62 kgKuiper
5
69 kgFignon
7
67 kgDelgado
15
64 kgDidier
19
67 kgGayant
25
69 kg
Weight (KG) →
Result →
69
62
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 5 | KUIPER Hennie | 69 |
| 7 | FIGNON Laurent | 67 |
| 15 | DELGADO Pedro | 64 |
| 19 | DIDIER Lucien | 67 |
| 25 | GAYANT Martial | 69 |