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 = -0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN POPPEL Danny | 82 |
| 3 | GROENEWEGEN Dylan | 70 |
| 4 | BRUSTENGA Marc | 80 |
| 5 | PELIKÁN János | 76 |
| 6 | MALUCELLI Matteo | 68 |
| 7 | STOLIĆ Mihajlo | 73 |
| 8 | VANTHOURENHOUT Michael | 62 |
| 9 | NIZZOLO Giacomo | 72 |
| 10 | BAUHAUS Phil | 75 |
| 11 | WELSFORD Sam | 79 |
| 13 | DEWEIRDT Siebe | 69 |
| 14 | COLNAGHI Luca | 63 |