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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIGTHART Pim | 72 |
| 2 | SILVESTRE Fábio | 78 |
| 3 | BOLE Grega | 69 |
| 4 | VAN STAEYEN Michael | 62 |
| 5 | FARRAR Tyler | 73 |
| 6 | SELVAGGI Mirko | 73 |
| 7 | THEUNS Edward | 72 |
| 8 | PATERSKI Maciej | 73 |
| 9 | RATTO Daniele | 74 |
| 10 | VAN GINNEKEN Sjoerd | 72 |
| 11 | DEGENKOLB John | 82 |
| 12 | KENNAUGH Peter | 66 |
| 13 | CHAVANEL Sylvain | 73 |
| 14 | FROOME Chris | 68 |
| 15 | LEEZER Tom | 76 |