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 = 0.5 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MIRZA Yousif | 60 |
| 8 | MAYER Alexandre | 64 |
| 9 | CRAVEN Dan | 75 |
| 12 | PAPO Xavier | 55 |
| 17 | GIRDLESTONE Dylan | 66 |
| 22 | SAUSER Christoph | 65 |
| 24 | SHORTT Devin | 62 |
| 36 | ROUGIER-LAGANE Christopher | 69 |
| 47 | MUNTON Byron | 60 |
| 48 | ORMISTON Callum | 67 |
| 51 | COETZEE Drikus | 78 |
| 56 | BONTHUYS Carl | 60 |
| 58 | JIM Songezo | 66 |
| 76 | AL MURAWWI Mohammed | 70 |
| 83 | TIGRINE Mehdi | 61 |