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 + 28
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 |
| 6 | KACZMAREK Jakub | 66 |
| 8 | BUDZIŃSKI Tomasz | 69 |
| 9 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 10 | TRARIEUX Julien | 71 |
| 13 | BANASZEK Norbert | 75 |
| 16 | IDERBOLD Bold | 58 |
| 17 | PAWLAK Tobiasz | 81 |
| 19 | POPOV Anton | 75 |
| 21 | NISU Oskar | 84 |
| 23 | DE ROSSI Lucas | 70 |
| 25 | PICCOLI James | 65 |
| 26 | STOLIĆ Mihajlo | 73 |
| 28 | AGNOLETTO Blake | 69 |
| 32 | TOMKINSON Tyler | 61 |