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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Simon | 58 |
| 2 | ALBANESE Vincenzo | 70 |
| 3 | VUILLERMOZ Alexis | 60 |
| 4 | LASTRA Jonathan | 64 |
| 5 | FORTUNATO Lorenzo | 57 |
| 6 | EDET Nicolas | 60 |
| 7 | HOWSON Damien | 68 |
| 8 | SOSA Iván Ramiro | 52 |
| 9 | SILVA Joaquim | 66 |
| 10 | BIZKARRA Mikel | 53 |
| 11 | RODRÍGUEZ Cristián | 59 |
| 12 | PEDRERO Antonio | 60 |
| 13 | VAUQUELIN Kévin | 69 |
| 15 | SCHULTZ Nick | 68 |