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 = -0.9 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EISEL Bernhard | 74 |
| 2 | RENSHAW Mark | 74 |
| 3 | VEIKKANEN Jussi | 66 |
| 4 | DELPECH Jean-Luc | 72 |
| 5 | VORGANOV Eduard | 65 |
| 7 | MAINGUENAUD Frédéric | 68 |
| 11 | LÖFKVIST Thomas | 70 |
| 12 | ZONNEVELD Thijs | 63 |
| 14 | MONNERAIS Cyrille | 70 |
| 20 | NAIBO Carl | 62 |