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 - 2
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KONING Stef | 72 |
| 3 | BANGERT Nick | 66 |
| 4 | VAN DORP Vincent | 76 |
| 7 | VERGOUW Julian | 73 |
| 8 | WALKER Zachary | 52 |
| 11 | HUITEMA Jasper | 66 |
| 13 | VAN DER WERFF Thom | 60 |
| 18 | BALDACCI Brandon | 63 |
| 30 | VAN ZUIDAM Bas | 63 |
| 33 | BONILLA Pablo Sandino | 63 |
| 37 | KRANENBURG Joris | 62 |
| 48 | BRETHOUWER Yorick | 69 |
| 50 | WILLEMSEN Justus | 80 |