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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIEBES Lorena | 60 |
| 2 | PIKULIK Daria | 54 |
| 3 | VAN DER HULST Amber | 66 |
| 4 | VAN DIJK Ellen | 71 |
| 6 | PATERNOSTER Letizia | 53 |
| 7 | JACKSON Alison | 63 |
| 8 | TRUYEN Marthe | 55 |
| 10 | HOSKING Chloe | 60 |
| 11 | CORDON-RAGOT Audrey | 60 |
| 12 | KUIJPERS Evy | 73 |
| 14 | KRÖGER Mieke | 77 |
| 18 | JOUNIER Lucie | 58 |
| 22 | WILLIAMS Lily | 66 |