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 = -3.7 * weight + 308
This means that on average for every extra kilogram weight a rider loses -3.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | KELLY Sean | 77 |
| 23 | ALONSO Marino | 70 |
| 31 | MADIOT Marc | 68 |
| 42 | SCHEPERS Eddy | 60 |
| 49 | MUJIKA Jokin | 73 |
| 64 | DELGADO Pedro | 64 |
| 73 | CHIAPPUCCI Claudio | 67 |
| 80 | CHEVALLIER Philippe | 69 |
| 95 | BALBOA Antonio | 66 |
| 108 | FERNÁNDEZ Juan | 68 |
| 112 | MURGUIALDAY Javier | 58 |