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 = -0.4 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROOTKIN-GRAY Jack | 67 |
| 5 | KURITS Joonas | 74 |
| 9 | NYS Thibau | 64 |
| 18 | WOOD George | 64 |
| 19 | STEVENS Daan | 72 |
| 27 | BUDENAERS Thomas | 63 |
| 31 | COPPENS Michiel | 75 |
| 34 | BOONS Jente | 79 |
| 36 | ANDERSONS Roberts | 77 |
| 37 | LOND Daniel | 65 |
| 62 | ZHAPARULY Bauyrzhan | 59 |