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 = 0.8 * weight - 43
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOURNIAUX Axel | 63 |
| 2 | SELLIER Simon | 68 |
| 5 | RIVIÈRE David | 63 |
| 6 | TAGLIANI Filippo | 70 |
| 8 | GAILLARD Marlon | 64 |
| 11 | CULLY Ján Andrej | 73 |
| 13 | LEINAU Louis | 70 |
| 23 | FILUTÁS Viktor | 68 |