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 + 28
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROOTKIN-GRAY Jack | 67 |
| 5 | KURITS Joonas | 74 |
| 10 | NYS Thibau | 64 |
| 17 | PALENI Enzo | 65 |
| 20 | WOOD George | 64 |
| 21 | STEVENS Daan | 72 |
| 29 | BUDENAERS Thomas | 63 |
| 33 | COPPENS Michiel | 75 |
| 36 | BOONS Jente | 79 |
| 38 | ANDERSONS Roberts | 77 |
| 39 | LOND Daniel | 65 |
| 60 | VAN DER POEL Rick | 82 |
| 65 | DEMAN Brem | 76 |
| 75 | ZHAPARULY Bauyrzhan | 59 |
| 77 | BRITS Noah | 63 |