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 = 0.3 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FRETIN Milan | 70 |
| 2 | HENNEQUIN Paul | 64 |
| 3 | BENNETT Sam | 73 |
| 4 | JARNET Maxime | 63 |
| 5 | CAPIOT Amaury | 69 |
| 6 | MENTEN Milan | 68 |
| 7 | LECLAINCHE Gwen | 65 |
| 8 | BEZZA Quentin | 76 |
| 9 | WARLOP Jordi | 71 |
| 10 | HUE Antoine | 64 |
| 11 | EEKHOFF Nils | 75 |
| 12 | ÄRM Rait | 75 |