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 = 0.7 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOLENAAR Ko | 68 |
| 2 | NAGENGAST Ruud Junior | 62 |
| 3 | ZOMERMAAND Jurgen | 67 |
| 4 | SOLEN Keije | 67 |
| 5 | DIJKMAN Daan | 55 |
| 14 | DERKSEN Jente | 69 |
| 18 | MONS Jasper | 61 |
| 20 | BIJLSMA Sjoerd | 68 |
| 25 | HANEGRAAF Niels | 70 |
| 26 | VUGTS Bram | 67 |