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 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WÆRENSKJOLD Søren | 92 |
| 3 | WATSON Samuel | 68 |
| 4 | NYS Thibau | 64 |
| 5 | LÜHRS Luis-Joe | 66 |
| 6 | GOMEZ Nicolas David | 64 |
| 8 | WENZEL Mats | 68 |
| 9 | LAMPERTI Luke | 74 |
| 10 | VAN DIJKE Tim | 74 |
| 12 | LE BERRE Mathis | 68 |
| 13 | PLOWRIGHT Jensen | 80 |
| 15 | DINHAM Matthew | 63 |
| 16 | FREDHEIM Stian | 72 |
| 19 | HESSMANN Michel | 78 |
| 20 | KELEMEN Petr | 70 |
| 21 | PICKRELL Riley | 72 |