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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOURGOYNE Lucas | 66 |
| 2 | LAMPERTI Luke | 74 |
| 3 | PICKRELL Riley | 72 |
| 4 | SCHANDORFF IWERSEN Emil | 62 |
| 8 | RICCITELLO Matthew | 55 |
| 12 | KINNIBURGH Jackson | 76 |
| 15 | HERTZ Benjamin | 68 |
| 17 | CARREAU Lukas | 68 |
| 22 | FRONER Axel | 63 |
| 24 | GUILLEMETTE Mathias | 73 |
| 28 | SELIVERT Fabien | 61 |
| 38 | MENEGON Nicholas | 59 |
| 41 | JUSSAUME Tristan | 70 |