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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COQUARD Bryan | 59 |
| 2 | KREDER Raymond | 70 |
| 3 | BOUHANNI Nacer | 65 |
| 4 | VAN LERBERGHE Bert | 83 |
| 5 | DEHAES Kenny | 73 |
| 6 | FRAPPORTI Marco | 69 |
| 7 | BARBIER Rudy | 79 |
| 8 | HOELGAARD Daniel | 77 |
| 9 | RICHEZE Maximiliano | 68 |
| 10 | REUS Kai | 70 |
| 11 | MARTINEZ Yannick | 69 |
| 12 | CHICCHI Francesco | 76 |
| 13 | SOUPE Geoffrey | 70 |
| 14 | POULHIÈS Stéphane | 75 |
| 15 | PLANCKAERT Baptiste | 65 |
| 17 | FEILLU Romain | 62 |
| 18 | OPIE Chris | 73 |