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 = 22.1 * weight - 870
This means that on average for every extra kilogram weight a rider loses 22.1 positions in the result.
Cerami
3
72 kgVietto
6
67 kgTassin
990
70 kgMaye
990
67 kgBobet
990
74 kgvan Schendel
990
82 kgThiétard
990
68 kg
3
72 kgVietto
6
67 kgTassin
990
70 kgMaye
990
67 kgBobet
990
74 kgvan Schendel
990
82 kgThiétard
990
68 kg
Weight (KG) →
Result →
82
67
3
990
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CERAMI Pino | 72 |
| 6 | VIETTO René | 67 |
| 990 | TASSIN Eloi | 70 |
| 990 | MAYE Paul | 67 |
| 990 | BOBET Louison | 74 |
| 990 | VAN SCHENDEL Antoon | 82 |
| 990 | THIÉTARD Louis | 68 |