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 = -0.2 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AHLSSON Jacob | 68 |
| 2 | LOVIDIUS Edvin | 70 |
| 3 | LUDVIGSSON Tobias | 76 |
| 4 | FORSSELL Hugo | 86 |
| 7 | LARSÉN Richard | 82 |
| 10 | PEDERSEN Eric | 61 |
| 11 | HILLERSTRÖM RUNDH Victor | 65 |
| 13 | LYCHOU Viktor | 78 |
| 15 | LENNARTSSON Hugo | 69 |
| 20 | ANSARI Amir Arsalan | 71 |
| 21 | BERGSTRÖM FRISK Hannes | 70 |
| 23 | WEHLIN Marcus | 72 |
| 24 | SÖDERGRANN Jakob | 80 |
| 31 | MÅRD Filip | 68 |