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 | HAAS Nathan | 71 |
| 3 | ROCHE Nicolas | 70 |
| 4 | PAUWELS Serge | 65 |
| 5 | KENNAUGH Peter | 66 |
| 7 | MOSCON Gianni | 71 |
| 8 | ROWE Luke | 72 |
| 9 | WALLAYS Jens | 64 |
| 10 | YATES Adam | 58 |
| 12 | POLITT Nils | 80 |
| 13 | TURGIS Anthony | 70 |
| 14 | EDET Nicolas | 60 |
| 15 | HALLER Marco | 72 |
| 16 | EDMONDSON Joshua | 62 |
| 17 | MORA Sebastián | 70 |