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 = -0.6 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZANINI Stefano | 80 |
| 3 | JALABERT Laurent | 66 |
| 5 | BAFFI Adriano | 70 |
| 7 | SKIBBY Jesper | 70 |
| 11 | ZAMANA Cezary | 74 |
| 12 | BARTOLI Michele | 65 |
| 13 | OLANO Abraham | 70 |
| 15 | RODRIGUES Orlando Sergio | 68 |
| 16 | SERRANO Marcos Antonio | 63 |
| 17 | ZABEL Erik | 69 |
| 19 | WELTZ Johnny | 65 |
| 21 | MAURI Melchor | 68 |
| 22 | CHANTEUR Pascal | 62 |
| 24 | UGRUMOV Piotr | 58 |
| 25 | BRUYNEEL Johan | 71 |
| 30 | ZÜLLE Alex | 72 |