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 | KURIANOV Stepan | 74 |
| 2 | ROCHAS Rémy | 51 |
| 4 | CHERKASOV Nikolay | 68 |
| 5 | LAFAY Victor | 65 |
| 6 | TOUZÉ Damien | 69 |
| 7 | CRAS Steff | 65 |
| 9 | GODON Dorian | 74 |
| 11 | PARET-PEINTRE Aurélien | 64 |
| 22 | PEETERS Yannick | 69 |