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 = 14.4 * weight - 211
This means that on average for every extra kilogram weight a rider loses 14.4 positions in the result.
Tassin
3
70 kgCerami
990
72 kgVietto
990
67 kgBobet
990
74 kgvan Schendel
990
82 kgThiétard
990
68 kg
3
70 kgCerami
990
72 kgVietto
990
67 kgBobet
990
74 kgvan Schendel
990
82 kgThiétard
990
68 kg
Weight (KG) →
Result →
82
67
3
990
# | Rider | Weight (KG) |
---|---|---|
3 | TASSIN Eloi | 70 |
990 | CERAMI Pino | 72 |
990 | VIETTO René | 67 |
990 | BOBET Louison | 74 |
990 | VAN SCHENDEL Antoon | 82 |
990 | THIÉTARD Louis | 68 |