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 + 50
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KREDER Michel | 67 |
| 3 | GAUTIER Cyril | 65 |
| 9 | NAULEAU Bryan | 67 |
| 10 | ROUX Anthony | 73 |
| 15 | MARTINEZ Yannick | 69 |
| 16 | LAMOISSON Morgan | 69 |
| 20 | STANNARD Ian | 83 |
| 23 | VAN ZANDBEEK Ronan | 72 |
| 25 | HUREL Tony | 66 |
| 30 | CHAIGNEAU Robin | 80 |
| 49 | FAIRLY Caleb | 60 |
| 59 | PAPOK Siarhei | 76 |
| 88 | COLONNA Paolo | 65 |