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 = 1.3 * weight - 66
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIDAR Jarno | 54 |
| 3 | TUCKWELL Luke | 66 |
| 5 | VAN DER MEULEN Max | 67 |
| 6 | ZAPATA Mauricio | 62 |
| 8 | HØYDAHL Jonas Kind | 67 |
| 14 | HARRISON Curtis | 65 |
| 17 | GIMENO Nil | 60 |
| 21 | ALARI Samuele | 63 |
| 28 | SIERRA Juan David | 70 |
| 40 | GROß Matteo | 67 |
| 41 | JOHN Vincent | 65 |