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 = 0.3 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVENEPOEL Remco | 63 |
| 2 | PICCOLO Andrea | 64 |
| 4 | ACCO Alessio | 69 |
| 5 | FEDOROV Yevgeniy | 80 |
| 6 | BRAET Vito | 68 |
| 7 | PARISINI Nicolò | 65 |
| 9 | SANDER HANSEN Marcus | 68 |
| 10 | HEIDUK Kim | 70 |
| 12 | ONODERA Kei | 63 |
| 14 | BARONCINI Filippo | 74 |
| 15 | GONOV Lev | 76 |