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) |
|---|---|---|
| 2 | BOU Joan | 62 |
| 3 | MORENO Adrià | 59 |
| 4 | DENNIS Rohan | 72 |
| 5 | MOLENAAR Alex | 63 |
| 6 | SKJELMOSE Mattias | 65 |
| 7 | KRUIJSWIJK Steven | 63 |
| 8 | ARMIRAIL Bruno | 72 |
| 9 | WÜRTZ SCHMIDT Mads | 70 |
| 10 | SERRY Pieter | 66 |
| 11 | CAICEDO Jonathan Klever | 62 |