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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Madiot
1
68 kgPlanckaert
4
69 kgKelly
6
77 kgDuclos-Lassalle
10
73 kgJourdan
17
64 kg
1
68 kgPlanckaert
4
69 kgKelly
6
77 kgDuclos-Lassalle
10
73 kgJourdan
17
64 kg
Weight (KG) →
Result →
77
64
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MADIOT Marc | 68 |
| 4 | PLANCKAERT Eddy | 69 |
| 6 | KELLY Sean | 77 |
| 10 | DUCLOS-LASSALLE Gilbert | 73 |
| 17 | JOURDAN Christian | 64 |