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 + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KÜNG Stefan | 83 |
| 2 | VINE Jay | 69 |
| 3 | PRICE-PEJTERSEN Johan | 83 |
| 4 | BJERG Mikkel | 78 |
| 5 | SEGAERT Alec | 79 |
| 6 | GUERNALEC Thibault | 71 |
| 7 | LATOUR Pierre | 66 |
| 9 | LE HUITOUZE Eddy | 71 |
| 10 | BORRESCH Julian | 79 |
| 11 | PEREZ Anthony | 70 |
| 12 | CASTRILLO Jaime | 65 |
| 16 | BURGAUDEAU Mathieu | 61 |
| 17 | KLUCKERS Arthur | 71 |
| 18 | LARMET Ilan | 68 |