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 - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEINTJES Louis | 58 |
| 3 | FAGÚNDEZ Eric Antonio | 67 |
| 4 | BOL Jetse | 71 |
| 5 | LECERF Junior | 54 |
| 6 | FORMOLO Davide | 62 |
| 7 | PAQUOT Tom | 70 |
| 8 | ROGLIČ Primož | 65 |
| 9 | DEL TORO Isaac | 64 |
| 10 | RIVERA Brandon Smith | 60 |
| 11 | HAYTER Ethan | 70 |
| 12 | STAUNE-MITTET Johannes | 67 |
| 13 | COBO Iván | 64 |
| 14 | VINE Jay | 69 |
| 15 | HERMANS Quinten | 62 |
| 16 | VUILLERMOZ Alexis | 60 |
| 17 | FOUCHÉ James | 71 |