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 = 0.7 * weight - 38
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOSKING Chloe | 60 |
| 2 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 3 | BRAND Lucinda | 57 |
| 4 | WILLEIT Cherise | 54 |
| 5 | PIETERS Amy | 58 |
| 6 | LONGO BORGHINI Elisa | 59 |
| 7 | POLSPOEL Maaike | 59 |
| 11 | RAMSDEN Denise | 62 |
| 12 | KIRCHMANN Leah | 59 |
| 13 | D'HOORE Jolien | 63 |
| 16 | NORMAN LETH Julie | 68 |