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 = 0.7 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEPHENS Lauren | 55 |
| 2 | THOMAS Leah | 58 |
| 5 | MULLENS Peta | 57 |
| 7 | BUJAK Eugenia | 63 |
| 8 | DREXEL Ingrid | 62 |
| 10 | BATAGELJ Polona | 53 |
| 15 | EDWARDS Ruth | 59 |
| 16 | MEJÍAS Marlies | 60 |
| 19 | DUEHRING Jasmin | 54 |
| 20 | ROORDA Stephanie | 70 |
| 23 | PEÑUELA Diana | 53 |
| 29 | TEDDERGREEN Starla | 51 |
| 33 | WIRSKI Erica | 57 |
| 45 | BRECK Holly | 59 |
| 53 | VALENTE Jennifer | 73 |
| 55 | BEVERIDGE Allison | 62 |
| 57 | PRIETO Marcela Elizabeth | 54 |