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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | COSTA Adrien | 61 |
| 3 | ISHIGAMI Masahiro | 58 |
| 4 | PER Gorazd | 68 |
| 5 | SIVAKOV Pavel | 70 |
| 6 | HALLER Patrick | 68 |
| 7 | GHYS Robbe | 72 |
| 8 | O'LOUGHLIN Michael | 72 |
| 10 | ANTUNES Tiago | 55 |
| 11 | RAJOVIĆ Dušan | 74 |
| 13 | CARVALHO André | 66 |
| 14 | CARVALHO Gonçalo | 60 |
| 15 | GENIETS Kevin | 73 |
| 17 | ANIOŁKOWSKI Stanisław | 68 |
| 19 | NAKAMURA Keisuke | 60 |
| 22 | GAMPER Patrick | 80 |