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 = -0.5 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER HOORN Taco | 73 |
| 4 | KENNETT Dylan | 75 |
| 8 | VEREECKEN Nicolas | 72 |
| 11 | DUNNE Conor | 88 |
| 15 | DONOHOE Alistair | 62 |
| 16 | HINDLEY Jai | 60 |
| 17 | GATE Aaron | 71 |
| 18 | DUNBAR Eddie | 57 |
| 19 | WACHTER Alexander | 72 |
| 23 | HOLLER Nikodemus | 58 |
| 24 | EDMONDSON Joshua | 62 |
| 26 | DE GREEF Robbert | 65 |