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 - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRONDIN Donavan | 77 |
| 2 | LATOUR Pierre | 66 |
| 3 | BURGAUDEAU Mathieu | 61 |
| 4 | HERREGODTS Rune | 70 |
| 5 | DELAPLACE Anthony | 65 |
| 6 | BAYER Tobias | 71 |
| 7 | VAN BAARLE Dylan | 78 |
| 8 | DE GENDT Thomas | 73 |