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 = 0.1 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOLLER Nikodemus | 58 |
| 3 | HAMILTON Lucas | 71 |
| 5 | HINDLEY Jai | 60 |
| 6 | DUNBAR Eddie | 57 |
| 7 | FOLSACH Casper | 81 |
| 8 | DUNNE Conor | 88 |
| 9 | STORER Michael | 63 |
| 12 | GROEN Ike | 70.5 |
| 18 | VINTHER Troels Rønning | 68 |
| 19 | HOLMES Matthew | 67 |
| 20 | VEREECKEN Nicolas | 72 |
| 21 | FEELEY Daire | 59 |
| 22 | EDMONDSON Joshua | 62 |
| 25 | ROWSELL Erick | 66 |
| 26 | GULLEN James | 65 |
| 29 | MOL Wouter | 83 |