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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOS Marianne | 58 |
| 2 | GUARNIER Megan | 54 |
| 3 | HOSKING Chloe | 60 |
| 4 | VAN DIJK Ellen | 71 |
| 5 | D'HOORE Jolien | 63 |
| 6 | HENTTALA Lotta | 58 |
| 7 | ELVIN Gracie | 63 |
| 9 | MAJERUS Christine | 56 |
| 10 | MAGNER Alexis | 57 |
| 11 | NEYLAN Rachel | 52 |
| 12 | BALSAMO Elisa | 55 |
| 13 | MACKAIJ Floortje | 57 |
| 14 | JACKSON Alison | 63 |
| 15 | PAWLOWSKA Katarzyna | 60 |
| 16 | ENSING Janneke | 62 |
| 17 | KRÖGER Mieke | 77 |
| 18 | FOURNIER Roxane | 60 |