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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AGGIANO Elio | 63 |
| 2 | CUNEGO Damiano | 58 |
| 3 | HERNÁNDEZ Aitor | 64 |
| 4 | GOLČER Jure | 66.5 |
| 5 | GARATE Juan Manuel | 62 |
| 6 | CARLSTRÖM Kjell | 70 |
| 8 | SIMONI Gilberto | 59 |
| 9 | PALUMBO Giuseppe | 61 |
| 10 | GASPARRE Graziano | 60 |
| 11 | LAVERDE Luis Felipe | 63 |
| 16 | HUZARSKI Bartosz | 69 |
| 17 | WEGELIUS Charles | 62 |