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 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Felline
1
68 kgGavazzi
2
70 kgBazzana
3
63.5 kgSprengers
5
60 kgLutsenko
6
74 kgReijnen
7
63 kgMatysiak
8
71 kg
1
68 kgGavazzi
2
70 kgBazzana
3
63.5 kgSprengers
5
60 kgLutsenko
6
74 kgReijnen
7
63 kgMatysiak
8
71 kg
Weight (KG) →
Result →
74
60
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FELLINE Fabio | 68 |
| 2 | GAVAZZI Mattia | 70 |
| 3 | BAZZANA Alessandro | 63.5 |
| 5 | SPRENGERS Thomas | 60 |
| 6 | LUTSENKO Alexey | 74 |
| 7 | REIJNEN Kiel | 63 |
| 8 | MATYSIAK Bartłomiej | 71 |