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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Lecamus-Lambert
1
79 kgGuenneugues
3
78 kgBoileau
4
57 kgChrétien
8
65 kgRenard
10
74 kg
1
79 kgGuenneugues
3
78 kgBoileau
4
57 kgChrétien
8
65 kgRenard
10
74 kg
Weight (KG) →
Result →
79
57
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LECAMUS-LAMBERT Florentin | 79 |
| 3 | GUENNEUGUES Erwann | 78 |
| 4 | BOILEAU Alan | 57 |
| 8 | CHRÉTIEN Charles-Étienne | 65 |
| 10 | RENARD Alexis | 74 |