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 + 43
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ERIKSSON Lucas | 64 |
| 2 | LUDVIGSSON Tobias | 76 |
| 4 | LARSÉN Richard | 82 |
| 8 | KVIST Linus | 72 |
| 11 | LENNARTSSON Hugo | 69 |
| 12 | PEDERSEN Eric | 61 |
| 13 | LYCHOU Viktor | 78 |
| 17 | FAGERSTRÖM Ludwig | 60 |
| 20 | HENDLER Benjamin | 66 |
| 21 | WEHLIN Marcus | 72 |
| 23 | LINDGREN Emil | 72.5 |
| 29 | ANSARI Amir Arsalan | 71 |
| 30 | MÅRD Filip | 68 |
| 31 | LOVIDIUS Edvin | 70 |
| 33 | AHLSSON Jacob | 68 |