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 + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DERUYTER Charles | 77 |
| 2 | ANSEEUW Urbain | 76 |
| 3 | VAN LERBERGHE Henri | 79 |
| 4 | ALAVOINE Jean | 73 |
| 5 | WYNSDAU Théodore | 82 |
| 6 | PELLETIER José | 72 |
| 7 | HEUSGHEM Hector | 86 |
| 8 | DESMEDT Albert | 64 |
| 9 | HANLET Henri | 70 |
| 10 | HURET André | 68 |
| 11 | KIPPERT Charles | 71 |
| 13 | PAUL Ernest | 77 |
| 17 | MÉNAGER Henri | 68 |
| 18 | ASSE Robert | 72 |