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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | EWAN Caleb | 69 |
| 3 | SAGAN Peter | 78 |
| 4 | VIVIANI Elia | 67 |
| 5 | HAAS Nathan | 71 |
| 6 | CONSONNI Simone | 60 |
| 7 | CLARKE Will | 81 |
| 8 | BAUHAUS Phil | 75 |
| 9 | MONTAGUTI Matteo | 65 |
| 10 | NAVARDAUSKAS Ramūnas | 79 |
| 11 | DLAMINI Nic | 66 |
| 12 | MINALI Riccardo | 74 |
| 13 | RESTREPO Jhonatan | 73 |