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 - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKER Erik | 66 |
| 2 | KNAVEN Servais | 68 |
| 5 | VOSKAMP Bart | 75 |
| 7 | CORDES Tom | 70 |
| 9 | VAN BON Léon | 72 |
| 10 | TRAKSEL Bobbie | 72 |
| 12 | MUTSAARS Ronald | 67 |
| 13 | VENEBERG Thorwald | 75 |