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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAMPERTI Luke | 74 |
| 3 | SYRITSA Gleb | 85 |
| 4 | NEUMAN Dominik | 72 |
| 5 | STOLIĆ Mihajlo | 73 |
| 6 | SCHURAN Michal | 70 |
| 7 | DELLE VEDOVE Alessio | 73 |
| 8 | MAŚLAK Piotr | 73 |
| 9 | LECERF Junior | 54 |
| 10 | KONYCHEV Alexander | 76 |
| 11 | BUDZIŃSKI Tomasz | 69 |
| 12 | GARIBBO Nicolò | 57 |
| 13 | VAN GESTEL Dries | 74 |
| 14 | FANCELLU Alessandro | 62 |
| 16 | WALSH Liam | 80 |
| 17 | REINDERINK Joris | 59 |
| 18 | SCOTT Cameron | 80 |