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 + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MINNAARD Marco | 65 |
| 2 | NAVARDAUSKAS Ramūnas | 79 |
| 3 | VAN NIEKERK Morné | 64 |
| 4 | LÓPEZ-CÓZAR Juan Antonio | 70 |
| 5 | MOLLY Kenny | 61 |
| 6 | VIEL Mattia | 72 |
| 7 | BRAVO Garikoitz | 61 |
| 8 | GAUDIN Damien | 85 |
| 9 | ROTA Lorenzo | 62 |
| 10 | NICOLAU Joel | 66 |
| 11 | DUVAL Julien | 68 |
| 12 | RIOU Alan | 68 |