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 = 0.6 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WAUTERS Jean | 72 |
| 2 | NEUHARD Ernest | 67 |
| 5 | PERRAIN Julien | 75 |
| 6 | DOSSCHE Aimé | 75 |
| 7 | LALOUP Georges | 72 |
| 8 | VAN BRUAENE Armand | 70 |
| 11 | MOREELS François | 74 |
| 12 | GIJSSELS Romain | 75 |
| 17 | HARDIQUEST Louis | 72 |