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 + 23
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ERIĆ Jelena | 53 |
| 3 | PIKULIK Daria | 54 |
| 4 | DRUMMOND Michaela | 61 |
| 12 | MAGNER Alexis | 57 |
| 13 | NERLO Aurela | 65 |
| 24 | TACEY April | 62 |
| 25 | CASAGRANDA Andrea | 58 |
| 38 | FAHLIN Emilia | 63 |
| 39 | STEELS Claire | 55 |
| 42 | RUIZ PÉREZ Laura | 55 |
| 46 | FRANZ Heidi | 52 |
| 48 | MISSIAGGIA Alessia | 53 |
| 53 | DE BOER Manon | 62 |
| 86 | GUTIÉRREZ Sheyla | 60 |
| 87 | MARTÍN Sara | 58 |