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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIBALI Vincenzo | 65 |
| 2 | AUGUSTYN John-Lee | 65 |
| 3 | SALERNO Cristiano | 64 |
| 4 | KIŠERLOVSKI Robert | 72 |
| 6 | RUBIANO Miguel Angel | 58 |
| 7 | SAMOILAU Branislau | 77 |
| 8 | EIBEGGER Markus | 68 |
| 9 | MARCZYŃSKI Tomasz | 70 |
| 12 | ŠPILAK Simon | 68 |
| 13 | CATALDO Dario | 64 |
| 14 | KUNITSKI Andrei | 72 |
| 16 | MASCIARELLI Francesco | 55 |
| 18 | CHIARINI Riccardo | 70 |
| 21 | THOMAS Geraint | 71 |
| 23 | URIBARRI Unai | 62 |