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 = -35.7 * weight + 2827
This means that on average for every extra kilogram weight a rider loses -35.7 positions in the result.
Bourreau
7
63 kgTschan
9
68 kgRosiers
17
78 kgZoetemelk
20
68 kgPoulidor
990
71 kgHinault
990
62 kgVan Impe
990
59 kg
7
63 kgTschan
9
68 kgRosiers
17
78 kgZoetemelk
20
68 kgPoulidor
990
71 kgHinault
990
62 kgVan Impe
990
59 kg
Weight (KG) →
Result →
78
59
7
990
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | BOURREAU Bernard | 63 |
| 9 | TSCHAN Jürgen | 68 |
| 17 | ROSIERS Roger | 78 |
| 20 | ZOETEMELK Joop | 68 |
| 990 | POULIDOR Raymond | 71 |
| 990 | HINAULT Bernard | 62 |
| 990 | VAN IMPE Lucien | 59 |