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 + 33
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RASCH Jesper | 71 |
| 3 | TRARIEUX Julien | 71 |
| 4 | BANASZEK Norbert | 75 |
| 7 | KACZMAREK Jakub | 66 |
| 10 | BUDZIŃSKI Tomasz | 69 |
| 12 | NISU Oskar | 84 |
| 13 | TOMKINSON Tyler | 61 |
| 14 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 17 | STOLIĆ Mihajlo | 73 |
| 19 | IDERBOLD Bold | 58 |
| 22 | PAWLAK Tobiasz | 81 |
| 25 | POPOV Anton | 75 |
| 28 | DE ROSSI Lucas | 70 |
| 30 | PICCOLI James | 65 |
| 33 | AGNOLETTO Blake | 69 |
| 38 | KIM Euro | 68 |