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 = -0.1 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POIDEVIN Sara | 56 |
| 5 | LUEBKE Jennifer | 54 |
| 6 | DUEHRING Jasmin | 54 |
| 7 | VALENTE Jennifer | 73 |
| 11 | BERGEN Sara | 64 |
| 16 | ROORDA Stephanie | 70 |
| 24 | TEDDERGREEN Starla | 51 |
| 25 | POWLESS Shayna | 59 |
| 26 | CLEVENGER Erica | 57 |
| 30 | FRANZ Heidi | 52 |
| 32 | ANDERSON Grace | 54 |
| 44 | BEVERIDGE Allison | 62 |
| 46 | SWAN Callie | 63 |