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 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKERL Daniel | 80 |
| 3 | LAMBRECHT Michiel | 75 |
| 4 | VAN HAUTEGEM Leander | 64 |
| 5 | VLOT Mees | 57 |
| 8 | FOX Matthew | 71 |
| 9 | ANDREAUS Marco | 68 |
| 10 | ASKEY Ben | 70 |
| 17 | SAVIOZ Colin | 53 |
| 18 | MARTINSEN Toralf Rydningen | 62 |
| 23 | KÄLLBERG Axel | 69 |
| 25 | AAGAARD HANSEN Tobias | 77 |
| 28 | DORUSSEN Johan | 74 |