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 + 45
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BIAŁOBŁOCKI Marcin | 79 |
| 2 | DOULL Owain | 71 |
| 4 | BENNETT Sam | 73 |
| 6 | VEREECKEN Nicolas | 72 |
| 7 | EDMÜLLER Benjamin | 70 |
| 8 | ARCHBOLD Shane | 79 |
| 10 | DUNNE Conor | 88 |
| 11 | NORTHEY Michael James | 69 |
| 12 | EEFTING-BLOEM Roy | 75 |
| 13 | DE BUYST Jasper | 72 |
| 14 | GULDHAMMER Rasmus | 66 |
| 15 | MCCONVEY Connor | 67 |
| 20 | MERTENS Tim | 73 |
| 22 | DE KETELE Kenny | 66 |
| 26 | DE PAUW Moreno | 72 |
| 28 | BICHLMANN Daniel | 72 |