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 - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRENNER Marco | 59 |
| 2 | VACEK Mathias | 75 |
| 3 | PONOMAR Andrii | 65 |
| 4 | BITTNER Pavel | 73 |
| 6 | ROOTKIN-GRAY Jack | 67 |
| 9 | GLIVAR Gal | 64 |
| 10 | COLNAR Aljaž | 63 |
| 11 | WENZEL Mats | 68 |
| 13 | VINOKUROV Nicolas | 65 |
| 14 | VINOKUROV Alexandre | 66 |
| 19 | GERMANI Lorenzo | 62 |
| 21 | BUSCHEK Paul | 67 |
| 22 | WAFLER Tim | 78 |
| 25 | MOVCHAN Andrii | 65 |
| 27 | AAGAARD HANSEN Tobias | 77 |