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 = -0.4 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Knudsen
2
79 kgLasa
11
68 kgConti
15
79 kgDíaz
25
72 kgGavazzi
26
67 kgRosiers
34
78 kg
2
79 kgLasa
11
68 kgConti
15
79 kgDíaz
25
72 kgGavazzi
26
67 kgRosiers
34
78 kg
Weight (KG) →
Result →
79
67
2
34
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KNUDSEN Knut | 79 |
| 11 | LASA Miguel María | 68 |
| 15 | CONTI Tino | 79 |
| 25 | DÍAZ Ventura | 72 |
| 26 | GAVAZZI Pierino | 67 |
| 34 | ROSIERS Roger | 78 |