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 = -0.1 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOURGOYNE Lucas | 66 |
| 2 | LAMPERTI Luke | 74 |
| 3 | PICKRELL Riley | 72 |
| 6 | SCHANDORFF IWERSEN Emil | 62 |
| 7 | RICCITELLO Matthew | 55 |
| 14 | CARREAU Lukas | 68 |
| 15 | KINNIBURGH Jackson | 76 |
| 17 | HERTZ Benjamin | 68 |
| 22 | GUILLEMETTE Mathias | 73 |
| 27 | SELIVERT Fabien | 61 |
| 34 | JUSSAUME Tristan | 70 |
| 37 | FRONER Axel | 63 |