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 + 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Conti
3
79 kgLasa
18
68 kgGavazzi
35
67 kgDíaz
44
72 kgKnudsen
45
79 kgRosiers
53
78 kg
3
79 kgLasa
18
68 kgGavazzi
35
67 kgDíaz
44
72 kgKnudsen
45
79 kgRosiers
53
78 kg
Weight (KG) →
Result →
79
67
3
53
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CONTI Tino | 79 |
| 18 | LASA Miguel María | 68 |
| 35 | GAVAZZI Pierino | 67 |
| 44 | DÍAZ Ventura | 72 |
| 45 | KNUDSEN Knut | 79 |
| 53 | ROSIERS Roger | 78 |