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 + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIPPERT Wouter | 75 |
| 2 | JONES Brenton | 81 |
| 3 | BONIFAZIO Niccolò | 72 |
| 4 | ABE Takayuki | 66 |
| 5 | NISHITANI Taiji | 62 |
| 6 | BOLE Grega | 69 |
| 7 | CLARKE Will | 81 |
| 8 | POZZATO Filippo | 73 |
| 9 | MIYAZAWA Takashi | 61 |
| 11 | MORA Sebastián | 70 |
| 13 | KERBY Jordan | 71 |
| 15 | KUROEDA Saya | 57 |
| 17 | CONTI Valerio | 61 |
| 18 | DOI Yukihiro | 58 |
| 20 | PALINI Andrea | 67 |
| 21 | GARCÍA Ricardo | 68 |
| 23 | NORRIS Lachlan | 67 |
| 24 | NAKANE Hideto | 55 |