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 = 1.8 * weight - 82
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIDAR Jarno | 54 |
| 5 | LIGHTFOOT Mark | 57 |
| 7 | ZANUTTA David | 57 |
| 15 | NEGRENTE Mattia | 65 |
| 19 | MELLANO Ludovico Maria | 65 |
| 26 | O'BRIEN Killian | 56 |
| 27 | RENAUD-TREMBLAY Sasha | 60 |
| 41 | GORDILLO Emerson Ronaldo | 62 |
| 45 | WROLICH Manolo | 58 |
| 46 | RESTREPO Juan David | 58 |
| 48 | GRINDLEY Sebastian | 72 |
| 50 | FLOREZ Samuel | 63 |
| 52 | GARCIA Emilio | 64 |