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 = 0.4 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAUDIN Alex | 66 |
| 6 | WILLEMS Jago | 64 |
| 7 | STEINHAUSER Georg | 65 |
| 8 | PAULUS Milan | 62 |
| 9 | CORTJENS Ryan | 76 |
| 10 | GATHEMANN Albert | 62 |
| 15 | OELKE Tim | 78 |
| 17 | DEJAEGHER Jasper | 72 |
| 21 | VERSTAPPEN Tijs | 64 |
| 26 | BERCKMOES Jenno | 61 |
| 30 | ROESEMS Siebe | 70 |
| 32 | TRASTOUR Loris | 75 |
| 36 | DUIJVESTEIJN Roy | 73 |
| 38 | BONNET Theo | 63 |