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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTINEZ Lenny | 52 |
| 2 | UIJTDEBROEKS Cian | 68 |
| 3 | GARCÍA PIERNA Raúl | 67 |
| 4 | CANAL Carlos | 70 |
| 5 | SILVA Guillermo Thomas | 64 |
| 6 | RAFFERTY Darren | 65 |
| 7 | THOMPSON Reuben | 66 |
| 8 | PALENI Enzo | 65 |
| 9 | TULETT Ben | 56 |
| 10 | RODRÍGUEZ Carlos | 67 |
| 11 | FERNÁNDEZ Samuel | 57 |
| 14 | TARLING Joshua | 78 |
| 16 | CASTRILLO Pablo | 74 |
| 18 | STAUNE-MITTET Johannes | 67 |
| 19 | VERRE Alessandro | 59 |
| 24 | BARBAS Rafael | 67 |