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 - 79
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Gavazzi
1
67 kgConti
3
79 kgLasa
7
68 kgViejo
9
64 kgDíaz
18
72 kgKnudsen
30
79 kgRosiers
38
78 kg
1
67 kgConti
3
79 kgLasa
7
68 kgViejo
9
64 kgDíaz
18
72 kgKnudsen
30
79 kgRosiers
38
78 kg
Weight (KG) →
Result →
79
64
1
38
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAVAZZI Pierino | 67 |
| 3 | CONTI Tino | 79 |
| 7 | LASA Miguel María | 68 |
| 9 | VIEJO José Luis | 64 |
| 18 | DÍAZ Ventura | 72 |
| 30 | KNUDSEN Knut | 79 |
| 38 | ROSIERS Roger | 78 |