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 = -0.5 * weight + 41
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOLLY Kenny | 61 |
| 2 | SWEENY Harry | 75 |
| 4 | BARRÉ Louis | 68 |
| 6 | EIKING Odd Christian | 75 |
| 7 | GUILLON Célestin | 66 |
| 8 | HAIG Jack | 67 |
| 9 | VAN BEKKUM Darren | 62 |
| 10 | SCARONI Christian | 63 |
| 11 | CHAMPOUSSIN Clément | 61 |
| 12 | VAN NIEKERK Morné | 64 |
| 14 | BUITRAGO Santiago | 59 |
| 15 | CARAPAZ Richard | 62 |
| 16 | LAFAY Victor | 65 |
| 17 | CEPEDA Jefferson Alexander | 56 |
| 18 | CONCI Nicola | 68 |