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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WEULINK Meindert | 62 |
| 2 | CAÑELLAS Xavier | 66 |
| 3 | VAN DEN BROEK Frank | 70 |
| 5 | FOUCHÉ James | 71 |
| 7 | ORAM James | 68 |
| 8 | GOUGEARD Alexis | 70 |
| 10 | ETXEBERRIA Josu | 65 |
| 11 | ROBERTS William | 69 |
| 15 | WALSH Liam | 80 |
| 16 | JULIEN Matisse | 70 |
| 17 | TOMKINSON Tyler | 61 |
| 18 | HEIJNEN Philip | 66 |
| 20 | MACLEOD Callum | 55 |