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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Simon | 58 |
| 2 | PETILLI Simone | 65 |
| 3 | POLANC Jan | 62 |
| 4 | PIBERNIK Luka | 60 |
| 5 | NOVAK Domen | 70 |
| 7 | MOHORIČ Matej | 71 |
| 8 | MAGNUSSON Kim | 71 |
| 11 | KOROŠEC Rok | 75 |
| 12 | MANFREDI Andrea | 54 |
| 13 | BONIFAZIO Niccolò | 72 |
| 15 | GROSU Eduard-Michael | 68 |
| 16 | KATRAŠNIK Gašper | 69 |
| 17 | JABRAYILOV Samir | 52 |
| 19 | PER David | 81 |
| 24 | PAVLIČ Marko | 65 |