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 = -0.3 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Gavazzi
3
67 kgConti
11
79 kgDíaz
22
72 kgViejo
29
64 kgRosiers
32
78 kgLasa
44
68 kg
3
67 kgConti
11
79 kgDíaz
22
72 kgViejo
29
64 kgRosiers
32
78 kgLasa
44
68 kg
Weight (KG) →
Result →
79
64
3
44
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GAVAZZI Pierino | 67 |
| 11 | CONTI Tino | 79 |
| 22 | DÍAZ Ventura | 72 |
| 29 | VIEJO José Luis | 64 |
| 32 | ROSIERS Roger | 78 |
| 44 | LASA Miguel María | 68 |