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 = 0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VERGOUW Julian | 73 |
| 15 | DERKSEN Jente | 69 |
| 17 | QUINT Antoine | 75 |
| 23 | VANDENABEELE Kobe | 64 |
| 27 | GRÖMMEL Rens | 70 |
| 28 | MORALES Jonathan | 64 |
| 31 | NAGENGAST Ruud Junior | 62 |
| 32 | KOOL Tobias | 69 |
| 37 | MOLENAAR Ko | 68 |
| 40 | REMIJN Senna | 68 |
| 46 | CRABBE Tom | 70 |
| 52 | VAN KEULEN Wessel | 71 |
| 55 | VAN DER LINDEN Sjoerd | 73 |
| 57 | NUIJENS Cas | 80 |
| 66 | VAN ZUIDAM Bas | 63 |