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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LE BERRE Mathis | 68 |
| 3 | CHRÉTIEN Charles-Étienne | 65 |
| 5 | PLOWRIGHT Jensen | 80 |
| 6 | PENHOËT Paul | 64 |
| 8 | FERNÁNDEZ Miguel Ángel | 78 |
| 9 | MAHOUDO Nolann | 61 |
| 10 | VAN BOVEN Luca | 68 |
| 11 | PITHIE Laurence | 74 |
| 12 | NEUMAN Dominik | 72 |
| 13 | PELTONEN Ukko Iisakki | 69 |
| 15 | LAMPERTI Luke | 74 |