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 = 1.3 * weight - 72
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Viejo
3
64 kgConti
9
79 kgLasa
12
68 kgGavazzi
25
67 kgKnudsen
31
79 kgDíaz
43
72 kgRosiers
52
78 kg
3
64 kgConti
9
79 kgLasa
12
68 kgGavazzi
25
67 kgKnudsen
31
79 kgDíaz
43
72 kgRosiers
52
78 kg
Weight (KG) →
Result →
79
64
3
52
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VIEJO José Luis | 64 |
| 9 | CONTI Tino | 79 |
| 12 | LASA Miguel María | 68 |
| 25 | GAVAZZI Pierino | 67 |
| 31 | KNUDSEN Knut | 79 |
| 43 | DÍAZ Ventura | 72 |
| 52 | ROSIERS Roger | 78 |