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 = 0.6 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOUWMAN Koen | 60 |
| 2 | BERCKMOES Jenno | 61 |
| 3 | DE PRETTO Davide | 58 |
| 4 | RYAN Archie | 56 |
| 5 | ULISSI Diego | 63 |
| 6 | BRENNER Marco | 59 |
| 7 | ŤOUPALÍK Adam | 65 |
| 8 | MATTHYS Louka | 62 |
| 9 | MALUCELLI Matteo | 68 |
| 10 | MONIQUET Sylvain | 61 |
| 11 | BRAMBILLA Gianluca | 57 |
| 12 | CARBONI Giovanni | 61 |
| 14 | VADER Milan | 63 |
| 15 | DE VRIES Hartthijs | 66 |
| 16 | SBARAGLI Kristian | 74 |