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 - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AUGUST Andrew | 57 |
| 2 | PEACE Oliver | 64 |
| 5 | VERGOUW Julian | 73 |
| 6 | LIGHTFOOT Mark | 57 |
| 9 | TAPIA Adur | 56 |
| 14 | VAN DER WERFF Thom | 60 |
| 16 | STOKES Ben | 68 |
| 27 | PARHAM Darren | 68 |
| 29 | LINDÉN Rasmus | 56 |
| 30 | ERRASTI Unax | 73 |