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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALMEIDA João | 63 |
| 2 | LEKNESSUND Andreas | 72 |
| 3 | MCNULTY Brandon | 69 |
| 4 | VANSEVENANT Mauri | 60 |
| 5 | ZIMMERMANN Georg | 70 |
| 6 | WRIGHT Fred | 75 |
| 7 | BURGAUDEAU Mathieu | 61 |
| 8 | FISHER-BLACK Finn | 69 |
| 9 | HAYTER Ethan | 70 |
| 10 | BAYER Tobias | 71 |
| 11 | GUGLIELMI Simon | 66 |
| 12 | LOUVEL Matis | 77 |