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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENTA João | 60 |
| 2 | NOCENTINI Rinaldo | 60 |
| 3 | BRÔCO Hernâni | 66 |
| 4 | AFONSO Luis | 56 |
| 5 | DE SEGOVIA José Antonio | 75 |
| 6 | SOUSA Rui | 59 |
| 7 | CASIMIRO Henrique | 62 |
| 8 | SÁNCHEZ Ángel | 74 |
| 10 | ALARCÓN Raúl | 72 |
| 11 | OSORIO Juan Felipe | 65 |
| 12 | BIZKARRA Mikel | 53 |
| 14 | SILVA Bruno | 59 |
| 16 | LE ROUX Romain | 59 |