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 = -0.1 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HVASTIJA Martin | 75 |
| 6 | RATTI Eddy | 64 |
| 7 | ŠPILAK Simon | 68 |
| 8 | BOŽIČ Borut | 70 |
| 9 | MARIN Matej | 67 |
| 10 | DA DALTO Mauro | 72 |
| 21 | LJUNGBLAD Jonas | 70 |
| 23 | RIŠKA Martin | 73 |
| 25 | CANTWELL Jonathan | 69 |
| 27 | KVASINA Matija | 72 |
| 30 | GAZVODA Gregor | 72 |
| 36 | BONČA Valter | 63 |
| 38 | KIŠERLOVSKI Robert | 72 |