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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RENSHAW Mark | 74 |
| 2 | DAVIS Allan | 73 |
| 3 | BUFFAZ Mickaël | 64 |
| 4 | DELAGE Mickaël | 70 |
| 5 | OFFREDO Yoann | 69 |
| 7 | BROWN Graeme Allen | 76 |
| 8 | GREIPEL André | 80 |
| 9 | CARLSTRÖM Kjell | 70 |
| 10 | CHAMPION Dimitri | 70 |
| 11 | ROJAS José Joaquín | 70 |
| 12 | HAYMAN Mathew | 78 |
| 13 | SULZBERGER Wesley | 65 |
| 14 | POULHIÈS Stéphane | 75 |
| 15 | PORTE Richie | 62 |