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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TARLING Joshua | 78 |
| 2 | RAFFERTY Darren | 65 |
| 3 | CASTRILLO Pablo | 74 |
| 4 | BARTA Will | 61 |
| 6 | KELDERMAN Wilco | 65 |
| 7 | GARCÍA PIERNA Raúl | 67 |
| 8 | PICCOLO Andrea | 64 |
| 9 | CANAL Carlos | 70 |
| 10 | KWIATKOWSKI Michał | 68 |
| 11 | HAYTER Ethan | 70 |
| 12 | URÁN Rigoberto | 63 |
| 13 | MARTINEZ Lenny | 52 |
| 14 | DE LA CRUZ David | 66 |
| 15 | JUARISTI Txomin | 67.5 |