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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DENZ Nico | 71 |
| 2 | VAN HECKE Preben | 69 |
| 3 | DUPONT Hubert | 57 |
| 4 | BACKAERT Frederik | 78 |
| 5 | JEANNESSON Arnold | 65 |
| 6 | EL FARES Julien | 62 |
| 7 | JAUREGUI Quentin | 60 |
| 8 | LATOUR Pierre | 66 |
| 10 | TAARAMÄE Rein | 68 |
| 11 | MALDONADO Anthony | 57 |
| 12 | MADRAZO Ángel | 61 |
| 13 | PACHER Quentin | 62 |
| 14 | FUMEAUX Jonathan | 61 |