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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MORGADO António | 71 |
| 4 | HANSEN Alexander Arnt | 68 |
| 5 | THEILER Ole | 75 |
| 7 | PLACE Maxence | 58 |
| 8 | TAVARES Gonçalo | 58 |
| 9 | SHMIDT Artem | 76 |
| 12 | ŤOUPALÍK Jakub | 65 |
| 14 | HERZOG Emil | 74 |
| 15 | KVAM Kalle | 72 |
| 17 | MACKIE Ewan | 66 |
| 18 | CAMRDA Karel | 63 |
| 21 | ROGORA Kiya | 65 |
| 24 | ARVANITOU Nikiforos | 71 |
| 27 | LOHINSKÝ Filip | 71 |
| 31 | LYDIC Andrew | 62 |