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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DALLA VALLE Nicolas | 73 |
| 2 | SKERL Daniel | 80 |
| 3 | PROKOPYSZYN Filip | 68 |
| 4 | DI FELICE Francesco | 70 |
| 6 | PATERSKI Maciej | 73 |
| 11 | ĐURIĆ Đorđe | 79 |
| 14 | DUIJVESTEIJN Roy | 73 |
| 15 | ANDREEV Yordan | 63 |
| 16 | SZARKA Gergely | 67 |
| 18 | PAPIERSKI Damian | 81 |
| 19 | STRAVERS Jarri | 73 |