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 = 0.3 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOILEAU Alan | 57 |
| 3 | BERGSTRÖM FRISK Erik | 67 |
| 4 | UMBA Santiago | 58 |
| 6 | MUHOZA Eric | 62 |
| 7 | FERRON Valentin | 67 |
| 8 | KAGIMU Charles | 63 |
| 9 | GOEMAN Andreas | 64 |
| 10 | ORMISTON Callum | 66 |
| 11 | KIPKEMBOI Salim | 63 |
| 16 | GOLDSTEIN Edo | 61 |
| 19 | LAHAV Omer | 59 |
| 20 | NIGRINI Andries | 67 |