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 = -0.8 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAAS Martin | 76 |
| 2 | LEPLINGARD Antoine | 68 |
| 3 | BOUGLAS Georgios | 71 |
| 4 | MARENGO Umberto | 69 |
| 5 | RAILEANU Cristian | 63 |
| 6 | CARSTENSEN Lucas | 69 |
| 9 | PACIONI Luca | 67 |
| 13 | HOLLER Nikodemus | 58 |
| 15 | MEIJERS Jeroen | 68 |
| 19 | CULEY Marcus | 69 |
| 25 | FONZI Giuseppe | 63 |
| 30 | NOVARDIANTO Jamalidin | 69 |
| 31 | ZULKIFLI Nik Mohamad Azman | 65 |