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 = 0.8 * weight - 48
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Fignon
1
67 kgBauer
4
72 kgMadiot
5
68 kgSergeant
6
76 kgDuclos-Lassalle
17
73 kg
1
67 kgBauer
4
72 kgMadiot
5
68 kgSergeant
6
76 kgDuclos-Lassalle
17
73 kg
Weight (KG) →
Result →
76
67
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIGNON Laurent | 67 |
| 4 | BAUER Steve | 72 |
| 5 | MADIOT Marc | 68 |
| 6 | SERGEANT Marc | 76 |
| 17 | DUCLOS-LASSALLE Gilbert | 73 |