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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PASCUAL LLORENTE Javier | 68 |
| 3 | SERRANO Marcos Antonio | 63 |
| 5 | MORENI Cristian | 65 |
| 6 | LEIPHEIMER Levi | 62 |
| 9 | VELO Marco | 70 |
| 10 | LÓPEZ DE MUNAIN Alberto | 65 |
| 11 | VASSEUR Cédric | 70 |
| 12 | ZANETTI Mauro | 66 |
| 13 | HØJ Frank | 80 |
| 15 | CAÑADA David | 65 |
| 16 | GUTIÉRREZ José Iván | 71 |
| 18 | ZBERG Markus | 69 |
| 20 | KROON Karsten | 67 |