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 = 2.1 * weight - 129
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Gavazzi
1
67 kgConti
7
79 kgLasa
16
68 kgDíaz
24
72 kgKnudsen
44
79 kgRosiers
48
78 kg
1
67 kgConti
7
79 kgLasa
16
68 kgDíaz
24
72 kgKnudsen
44
79 kgRosiers
48
78 kg
Weight (KG) →
Result →
79
67
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAVAZZI Pierino | 67 |
| 7 | CONTI Tino | 79 |
| 16 | LASA Miguel María | 68 |
| 24 | DÍAZ Ventura | 72 |
| 44 | KNUDSEN Knut | 79 |
| 48 | ROSIERS Roger | 78 |