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 = 0.6 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POWLESS Neilson | 67 |
| 2 | SWIRBUL Keegan | 65 |
| 3 | ARANBURU Alex | 63 |
| 4 | NARVÁEZ Jhonatan | 65 |
| 5 | MÜLLER Patrick | 74 |
| 6 | ROTA Lorenzo | 62 |
| 7 | HOEHN Alex | 63 |
| 8 | BARTA Will | 61 |
| 9 | VELASCO Simone | 59 |
| 11 | ROBERGE Adam | 72 |
| 12 | ALBANESE Vincenzo | 70 |
| 13 | OWEN Logan | 67 |
| 14 | OIEN Justin | 68 |
| 15 | LAWLESS Chris | 72 |
| 18 | OLIVEIRA Rui | 66 |
| 21 | CÔTÉ Pier-André | 74 |