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 = -2.1 * weight + 159
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VERGOUW Julian | 73 |
| 4 | VAN DER LINDEN Sjoerd | 73 |
| 6 | HARVEY Hugh | 75 |
| 7 | MOLENAAR Ko | 68 |
| 14 | ØXENBERG Peter | 69 |
| 19 | KOOL Tobias | 69 |
| 21 | DERKSEN Jente | 69 |
| 22 | SETZ Ramon | 65 |
| 24 | UPTEGROVE Ed | 68 |