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 = 10.4 * weight - 32
This means that on average for every extra kilogram weight a rider loses 10.4 positions in the result.
Poulidor
2
71 kgZoetemelk
3
68 kgVan Impe
990
59 kgDierickx
990
74 kgBracke
990
79 kgParenteau
990
68 kgRosiers
990
78 kg
2
71 kgZoetemelk
3
68 kgVan Impe
990
59 kgDierickx
990
74 kgBracke
990
79 kgParenteau
990
68 kgRosiers
990
78 kg
Weight (KG) →
Result →
79
59
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | POULIDOR Raymond | 71 |
| 3 | ZOETEMELK Joop | 68 |
| 990 | VAN IMPE Lucien | 59 |
| 990 | DIERICKX André | 74 |
| 990 | BRACKE Ferdinand | 79 |
| 990 | PARENTEAU Jean-Pierre | 68 |
| 990 | ROSIERS Roger | 78 |