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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CHAMPION Thomas | 66 |
| 4 | VAN GILS Maxim | 63 |
| 5 | BOILEAU Alan | 57 |
| 6 | RYAN Archie | 56 |
| 7 | KRUL Wessel | 75 |
| 9 | FISHER-BLACK Finn | 69 |
| 10 | MONIQUET Sylvain | 61 |
| 11 | HESSMANN Michel | 78 |
| 12 | PAGE Hugo | 71 |
| 13 | GLOAG Thomas | 60 |