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:
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GATE Aaron | 71 |
| 4 | HINDLEY Jai | 60 |
| 5 | HOLLER Nikodemus | 58 |
| 6 | VAN DER HOORN Taco | 73 |
| 7 | GULLEN James | 65 |
| 9 | DUNBAR Eddie | 57 |
| 15 | VEREECKEN Nicolas | 72 |
| 16 | HAMILTON Lucas | 71 |
| 18 | EDMONDSON Joshua | 62 |
| 20 | DUNNE Conor | 88 |
| 22 | LAVERACK Edward | 62 |
| 24 | DONOHOE Alistair | 62 |
| 25 | WACHTER Alexander | 72 |
| 26 | DOWNEY Mark | 74 |
| 29 | VINTHER Troels Rønning | 68 |
| 32 | HOLMES Matthew | 67 |
| 33 | DE GREEF Robbert | 65 |