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 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MCGEOUGH Cormac | 76 |
| 3 | ROCHAS Rémy | 51 |
| 4 | SWIRBUL Keegan | 65 |
| 5 | FUENTES Ángel | 77 |
| 7 | TESFATSION Natnael | 60 |
| 8 | DE ROSSI Lucas | 70 |
| 11 | HIGUITA Sergio | 57 |
| 14 | GROŠELJ Matic | 70 |
| 15 | DEBESAY Yakob | 63 |
| 17 | OSORIO Juan Felipe | 65 |
| 18 | SAINBAYAR Jambaljamts | 60 |
| 20 | CAVANAGH Ryan | 72 |
| 21 | OKAMOTO Hayato | 65 |
| 24 | CHOI Hiu Fung | 53 |
| 26 | JERMAN Žiga | 67 |
| 27 | RUČIGAJ Žiga | 68 |
| 29 | EINHORN Itamar | 72 |