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 + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GILMORE Brady | 70 |
| 2 | BALLABIO Giacomo | 70 |
| 4 | MELLANO Ludovico Maria | 65 |
| 5 | GUDNITZ Joshua | 69 |
| 8 | RAUGEL Antoine | 70 |
| 10 | WIDAR Jarno | 54 |
| 11 | GUALDI Simone | 61 |
| 14 | NEUMAN Dominik | 72 |
| 15 | OMRZEL Jakob | 62 |
| 16 | HANNES Victor | 62 |
| 17 | BILYI Maksym | 56 |
| 18 | TOUDAL Emil | 72 |
| 19 | LOPEZ Luis | 62 |
| 20 | PŘIDAL Tomáš | 66 |
| 21 | SAVINO Federico | 70 |
| 26 | JØRGENSEN Adam Holm | 68 |
| 32 | TORRES Marc | 59 |