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 = -31.6 * weight + 2721
This means that on average for every extra kilogram weight a rider loses -31.6 positions in the result.
Dierickx
2
74 kgRosiers
3
78 kgPoulidor
5
71 kgMortensen
6
70 kgZoetemelk
990
68 kgSwerts
990
75 kgKrekels
990
73 kg
2
74 kgRosiers
3
78 kgPoulidor
5
71 kgMortensen
6
70 kgZoetemelk
990
68 kgSwerts
990
75 kgKrekels
990
73 kg
Weight (KG) →
Result →
78
68
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DIERICKX André | 74 |
| 3 | ROSIERS Roger | 78 |
| 5 | POULIDOR Raymond | 71 |
| 6 | MORTENSEN Leif | 70 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | SWERTS Roger | 75 |
| 990 | KREKELS Jan | 73 |