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 = 0.4 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | THOMAS Leah | 58 |
| 3 | NORSGAARD Emma | 65 |
| 5 | NORDÉN Lisa | 61 |
| 6 | SIMMONDS Hayley | 55 |
| 7 | BANKS Elizabeth | 62 |
| 8 | KIESENHOFER Anna | 54 |
| 10 | PITEL Edwige | 52 |
| 13 | CORDON-RAGOT Audrey | 60 |
| 14 | GROSSETÊTE Maëlle | 60 |
| 15 | PIRRONE Elena | 63 |
| 16 | BOOGAARD Maaike | 59 |
| 17 | DUVAL Eugénie | 53 |
| 19 | CASTRIQUE Alana | 63 |
| 22 | SAARELAINEN Sari | 58 |
| 23 | POMARES Cindy | 63 |
| 25 | GUAZZINI Vittoria | 65 |