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 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONSERGENT Stéphane | 66 |
| 2 | MONDORY Lloyd | 66 |
| 3 | DRUJON Mathieu | 75 |
| 5 | USOV Alexandre | 63 |
| 6 | KUSCHYNSKI Aleksandr | 65 |
| 11 | RIBLON Christophe | 65 |
| 12 | JÉRÔME Vincent | 65 |
| 16 | BUFFAZ Mickaël | 64 |
| 17 | DION Renaud | 65 |
| 18 | VANTHOURENHOUT Sven | 65 |
| 19 | PASSERON Aurélien | 73 |
| 20 | HEIJBOER Mathieu | 78 |
| 22 | GADRET John | 58 |
| 23 | BARTHE Stéphane | 65 |
| 28 | BLOT Guillaume | 71 |
| 33 | VERSTRAETEN Jan | 65 |