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 = -0.6 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DUEHRING Jasmin | 54 |
| 4 | POIDEVIN Sara | 56 |
| 6 | LUEBKE Jennifer | 54 |
| 8 | VALENTE Jennifer | 73 |
| 10 | BERGEN Sara | 64 |
| 16 | FRANZ Heidi | 52 |
| 20 | ROORDA Stephanie | 70 |
| 28 | CLEVENGER Erica | 57 |
| 33 | BEVERIDGE Allison | 62 |
| 37 | RYAN Kendall | 59 |
| 43 | POWLESS Shayna | 59 |
| 55 | TEDDERGREEN Starla | 51 |
| 61 | SWAN Callie | 63 |
| 66 | ANDERSON Grace | 54 |