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 + 14
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MUNTON Byron | 60 |
| 7 | CRAVEN Dan | 75 |
| 8 | MIRZA Yousif | 60 |
| 10 | GIRDLESTONE Dylan | 66 |
| 11 | SAUSER Christoph | 65 |
| 13 | ORMISTON Callum | 67 |
| 14 | MAYER Alexandre | 64 |
| 16 | TIGRINE Mehdi | 61 |
| 18 | COETZEE Drikus | 78 |
| 21 | BONTHUYS Carl | 60 |
| 26 | SHORTT Devin | 62 |
| 38 | PAPO Xavier | 55 |
| 41 | ROUGIER-LAGANE Christopher | 69 |
| 52 | JIM Songezo | 66 |
| 53 | AL MURAWWI Mohammed | 70 |