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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRIGNARD Sébastien | 68 |
| 2 | RAUGEL Antoine | 70 |
| 3 | DELPHIS Thomas | 70 |
| 4 | GRONDIN Donavan | 77 |
| 5 | VANDEPITTE Nathan | 80 |
| 10 | BAYER Tobias | 71 |
| 11 | LAPEIRA Paul | 64 |
| 14 | ACCO Alessio | 69 |
| 22 | CHAMPION Thomas | 66 |
| 44 | BAGUELIN Jocelyn | 72 |