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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOLE Grega | 69 |
| 2 | REYES Aldemar | 55 |
| 3 | TXOPERENA Beñat | 67 |
| 4 | VAN ROOY Kenneth | 70 |
| 5 | LUTSENKO Alexey | 74 |
| 6 | SIERRA Yecid Arturo | 66 |
| 7 | SAMLI Feritcan | 75 |
| 8 | RUBIO Diego | 81 |
| 9 | DE GENDT Aimé | 75 |
| 10 | ULISSI Diego | 63 |
| 11 | PRADES Eduard | 63 |
| 12 | ANTUNES Amaro | 58 |
| 13 | KNOX James | 58 |
| 14 | GARCÍA Jhojan | 55 |
| 15 | REIS Rafael | 72 |
| 16 | SESSLER Nícolas | 58 |
| 17 | IRISARRI Jon | 66 |