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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SÁNCHEZ Luis León | 73 |
| 2 | NAVARRO Daniel | 60 |
| 3 | GERRANS Simon | 62 |
| 4 | FELLINE Fabio | 68 |
| 5 | CLARKE Simon | 63 |
| 6 | BAKELANTS Jan | 67 |
| 7 | MARTIN Dan | 59 |
| 8 | BARGUIL Warren | 61 |
| 9 | GALLOPIN Tony | 69 |
| 10 | CHERNETSKI Sergei | 63 |
| 11 | COSTA Rui | 69 |
| 12 | PRADES Eduard | 63 |
| 13 | VAN DEN BROECK Jurgen | 69 |
| 14 | SLAGTER Tom-Jelte | 57 |
| 15 | JEANNESSON Arnold | 65 |