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 + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAUHAUS Phil | 75 |
| 2 | MARECZKO Jakub | 67 |
| 3 | STOSZ Patryk | 70 |
| 4 | MEEUS Jordi | 80 |
| 5 | BARBIER Rudy | 79 |
| 6 | SEVILLA Diego Pablo | 64 |
| 7 | DUPONT Timothy | 72 |
| 8 | THEUNS Edward | 72 |
| 9 | GROVES Kaden | 76 |
| 10 | KOOIJ Olav | 72 |
| 11 | JONES Taj | 82 |
| 12 | LARSEN Niklas | 74 |
| 13 | VAN DEN BOSSCHE Fabio | 63 |
| 14 | BLIKRA Erlend | 75 |
| 15 | BANASZEK Alan | 75 |
| 16 | DAINESE Alberto | 70 |