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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOLARD Rudy | 62 |
| 2 | DOMONT Axel | 65 |
| 3 | QUÉMÉNEUR Perrig | 67 |
| 4 | LEUKEMANS Björn | 67 |
| 5 | GUILLOU Florian | 71 |
| 6 | BACKAERT Frederik | 78 |
| 7 | LABORIE Christophe | 67 |
| 9 | MADRAZO Ángel | 61 |
| 10 | DUQUE Leonardo Fabio | 59 |
| 11 | LECUISINIER Pierre-Henri | 65 |
| 12 | TURGIS Jimmy | 63 |
| 13 | SAINT-MARTIN Clément | 66 |