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 - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERGOUW Julian | 73 |
| 2 | NAGENGAST Ruud Junior | 62 |
| 4 | DERKSEN Jente | 69 |
| 6 | VAN DER WERFF Thom | 60 |
| 11 | SOLEN Keije | 67 |
| 20 | SMIT Stan | 59 |
| 21 | ZOMERMAAND Jurgen | 67 |
| 29 | MOLENAAR Ko | 68 |
| 34 | QUINT Antoine | 75 |