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 + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODRÍGUEZ Óscar | 63 |
| 2 | POZZOVIVO Domenico | 53 |
| 3 | PINOT Thibaut | 63 |
| 4 | RABITSCH Stephan | 69 |
| 5 | SENNI Manuel | 60 |
| 6 | CICCONE Giulio | 58 |
| 7 | MOSCA Jacopo | 65 |
| 8 | O'CONNOR Ben | 67 |
| 9 | HERMANS Ben | 72 |
| 10 | JAUREGUI Quentin | 60 |
| 11 | SÁNCHEZ Luis León | 73 |
| 12 | DUPONT Hubert | 57 |
| 13 | BERHANE Natnael | 66 |
| 14 | BENNETT George | 58 |
| 15 | BIZKARRA Mikel | 53 |
| 16 | VISCONTI Giovanni | 63 |