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 = 1 * weight - 49
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EULÁLIO Afonso | 62 |
| 2 | FRANCO Alejandro | 58 |
| 3 | PEÑUELA Francisco Joel | 56 |
| 4 | AZNAR Hugo | 59 |
| 5 | SILVA Pedro | 67 |
| 8 | MACEDO João | 66 |
| 9 | GONÇALVES Diogo | 65 |
| 13 | HADDEN Nate | 68 |
| 16 | GILMORE Brady | 70 |
| 17 | PINTO Diogo | 65 |
| 18 | AGNOLETTO Blake | 69 |
| 19 | AZNAR Unai | 68 |
| 20 | NARCISO Diogo | 72 |
| 25 | CRANAGE Joshua | 63 |
| 27 | MILLER Lachlan | 64 |
| 29 | TOMKINSON Tyler | 61 |
| 36 | MAIA Emanuel | 68 |