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 = 0.8 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIMONDI Felice | 78 |
| 10 | KARSTENS Gerben | 74 |
| 13 | DÍAZ Ventura | 72 |
| 15 | KUDRA Jan | 68 |
| 16 | HÁVA Jiří | 62 |
| 27 | BŁAWDZIN Andrzej | 69 |
| 34 | VALADA Francisco Augusto da Conceição | 62 |
| 35 | PIETERSE Jan | 70 |
| 40 | SWERTS Roger | 75 |
| 41 | SCHLECK Johny | 72 |
| 45 | HEEB Adolf | 68 |
| 51 | BILIĆ Cvitko | 76 |
| 52 | ZOET Bart | 77 |
| 57 | BYERS Laurence | 78 |
| 62 | LÜTHI Hans | 72 |