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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GULDHAMMER Rasmus | 66 |
| 2 | DOCKX Gert | 64 |
| 3 | SERGENT Jesse | 76 |
| 4 | LIGTHART Pim | 72 |
| 7 | LANDER Sebastian | 70 |
| 10 | VAN STAEYEN Michael | 62 |
| 12 | GHYSELINCK Jan | 74 |
| 14 | MEYER Travis | 68 |
| 15 | BOBRIDGE Jack | 65 |
| 16 | JUUL-JENSEN Christopher | 73 |
| 17 | CHAIGNEAU Robin | 80 |
| 23 | FAVILLI Elia | 61 |