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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Duclos-Lassalle
1
73 kgRoche
3
74 kgHinault
5
62 kgBernaudeau
7
64 kgJourdan
11
64 kg
1
73 kgRoche
3
74 kgHinault
5
62 kgBernaudeau
7
64 kgJourdan
11
64 kg
Weight (KG) →
Result →
74
62
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUCLOS-LASSALLE Gilbert | 73 |
| 3 | ROCHE Stephen | 74 |
| 5 | HINAULT Bernard | 62 |
| 7 | BERNAUDEAU Jean-René | 64 |
| 11 | JOURDAN Christian | 64 |