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 = 1.7 * weight - 96
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Gavazzi
2
67 kgRosiers
11
78 kgLasa
15
68 kgViejo
20
64 kgDíaz
37
72 kgConti
42
79 kgKnudsen
49
79 kg
2
67 kgRosiers
11
78 kgLasa
15
68 kgViejo
20
64 kgDíaz
37
72 kgConti
42
79 kgKnudsen
49
79 kg
Weight (KG) →
Result →
79
64
2
49
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GAVAZZI Pierino | 67 |
| 11 | ROSIERS Roger | 78 |
| 15 | LASA Miguel María | 68 |
| 20 | VIEJO José Luis | 64 |
| 37 | DÍAZ Ventura | 72 |
| 42 | CONTI Tino | 79 |
| 49 | KNUDSEN Knut | 79 |