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 + 46
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | POIDEVIN Sara | 56 |
| 3 | DUEHRING Jasmin | 54 |
| 4 | BERGEN Sara | 64 |
| 5 | VALENTE Jennifer | 73 |
| 8 | LUEBKE Jennifer | 54 |
| 11 | FRANZ Heidi | 52 |
| 13 | ROORDA Stephanie | 70 |
| 23 | CLEVENGER Erica | 57 |
| 29 | POWLESS Shayna | 59 |
| 35 | TEDDERGREEN Starla | 51 |
| 40 | SWAN Callie | 63 |
| 53 | ANDERSON Grace | 54 |
| 62 | BEVERIDGE Allison | 62 |
| 64 | RYAN Kendall | 59 |