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 = -0.9 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANNINEN Matti | 70 |
| 2 | DONDERS Jelle | 76 |
| 4 | JERMAN Žiga | 67 |
| 6 | ALZATE Carlos | 74 |
| 10 | DE CLERCQ Angelo | 67 |
| 11 | FINKŠT Tilen | 70 |
| 12 | PEÁK Barnabás | 74 |
| 17 | GHEBREIGZABHIER Amanuel | 68 |
| 18 | JARAMILLO Daniel | 63 |
| 19 | RAILEANU Cristian | 63 |