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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRONZINI Giorgia | 54 |
| 2 | DRUYTS Kelly | 62 |
| 3 | PERSICO Silvia | 53 |
| 4 | GUTIÉRREZ Sheyla | 60 |
| 5 | DUVAL Eugénie | 53 |
| 6 | MANEEPHAN Jutatip | 59 |
| 7 | WILD Kirsten | 75 |
| 8 | GUARISCHI Barbara | 57 |
| 9 | EDMONDSON Annette | 66 |
| 10 | D'HOORE Jolien | 63 |
| 12 | TSERAKH Hanna | 70 |
| 13 | CHURSINA Anastasiia | 52 |
| 14 | HOSKING Chloe | 60 |
| 15 | DREXEL Ingrid | 62 |