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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERGEN Sara | 64 |
| 2 | HALL Katie | 52 |
| 3 | DYGERT Chloé | 66 |
| 4 | PEÑUELA Diana | 53 |
| 5 | THOMAS Leah | 58 |
| 7 | LUEBKE Jennifer | 54 |
| 8 | PITEL Edwige | 52 |
| 9 | VALENTE Jennifer | 73 |
| 11 | TEDDERGREEN Starla | 51 |
| 12 | WILLIAMS Lily | 66 |
| 16 | POWLESS Shayna | 59 |
| 17 | BLAIS Marie-Soleil | 53 |
| 19 | GANZAR Leigh Ann | 59 |
| 20 | FRANZ Heidi | 52 |