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 = 0.6 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HARDY Romain | 62 |
| 3 | EL FARES Julien | 62 |
| 4 | CLARKE Simon | 63 |
| 5 | SIMON Julien | 65 |
| 6 | KORETZKY Clément | 66 |
| 7 | HIVERT Jonathan | 62 |
| 8 | GALLAND Jérémie | 62 |
| 9 | FÉDRIGO Pierrick | 66 |
| 10 | VOECKLER Thomas | 71 |