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 * weight + 9
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVENEPOEL Remco | 63 |
| 2 | PICCOLO Andrea | 64 |
| 4 | ACCO Alessio | 69 |
| 5 | FEDOROV Yevgeniy | 80 |
| 6 | WÆRENSKJOLD Søren | 92 |
| 7 | BRAET Vito | 68 |
| 8 | PARISINI Nicolò | 65 |
| 9 | GONOV Lev | 76 |
| 11 | SYRITSA Gleb | 85 |
| 12 | SANDER HANSEN Marcus | 68 |
| 13 | HESSMANN Michel | 78 |
| 14 | HEIDUK Kim | 70 |
| 16 | RODRÍGUEZ Carlos | 67 |
| 17 | ONODERA Kei | 63 |
| 21 | BARONCINI Filippo | 74 |