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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEGENKOLB John | 82 |
| 2 | KOCH Jonas | 75 |
| 3 | BOUHANNI Nacer | 65 |
| 4 | BENNETT Sam | 73 |
| 5 | VORGANOV Eduard | 65 |
| 6 | MINNAARD Marco | 65 |
| 7 | SCHELLING Patrick | 61 |
| 8 | SÜTTERLIN Jasha | 78 |
| 9 | SANZ Enrique | 67 |
| 11 | CAPECCHI Eros | 65 |
| 12 | SINKELDAM Ramon | 77 |
| 13 | TORRES Rodolfo Andrés | 56 |
| 14 | KOEP Thomas | 78 |
| 15 | NIYONSHUTI Adrien | 63 |
| 16 | WILLWOHL Willi | 67 |
| 17 | NAVARDAUSKAS Ramūnas | 79 |