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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIEBES Lorena | 60 |
| 5 | CORDON-RAGOT Audrey | 60 |
| 6 | JACKSON Alison | 63 |
| 7 | DUVAL Eugénie | 53 |
| 9 | PALADIN Soraya | 59 |
| 10 | BARBIERI Rachele | 55 |
| 12 | DRONOVA-BALABOLINA Tamara | 63 |
| 14 | DIDERIKSEN Amalie | 62 |
| 15 | HENDERSON Anna | 58 |
| 17 | KOREVAAR Jeanne | 59 |
| 19 | SEITZ Aline | 58 |
| 22 | CONSONNI Chiara | 59 |
| 23 | KASPER Romy | 59 |
| 25 | DE WILDE Julie | 62 |