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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOWSON Damien | 68 |
| 2 | ALBANESE Vincenzo | 70 |
| 3 | ADRIÀ Roger | 64 |
| 4 | BRAMBILLA Gianluca | 57 |
| 5 | CRAS Steff | 65 |
| 6 | RUBIO Einer | 56 |
| 7 | SOSA Iván Ramiro | 52 |
| 8 | OKAMIKA Ander | 70 |
| 9 | SILVA Joaquim | 66 |
| 10 | BALDERSTONE Abel | 61 |
| 11 | BIZKARRA Mikel | 53 |
| 12 | PEDRERO Antonio | 60 |
| 13 | FORTUNATO Lorenzo | 57 |
| 14 | TERCERO Fernando | 65 |
| 15 | BOU Joan | 62 |