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 = 0.7 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Conti
2
79 kgLasa
4
68 kgGavazzi
20
67 kgKnudsen
27
79 kgDíaz
33
72 kgRosiers
44
78 kg
2
79 kgLasa
4
68 kgGavazzi
20
67 kgKnudsen
27
79 kgDíaz
33
72 kgRosiers
44
78 kg
Weight (KG) →
Result →
79
67
2
44
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CONTI Tino | 79 |
| 4 | LASA Miguel María | 68 |
| 20 | GAVAZZI Pierino | 67 |
| 27 | KNUDSEN Knut | 79 |
| 33 | DÍAZ Ventura | 72 |
| 44 | ROSIERS Roger | 78 |