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 = -0.6 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Garrido
2
70 kgTondo
4
68 kgPires
5
63 kgJaniaczyk
16
68 kgBuffaz
17
64 kgMartinez
24
67 kg
2
70 kgTondo
4
68 kgPires
5
63 kgJaniaczyk
16
68 kgBuffaz
17
64 kgMartinez
24
67 kg
Weight (KG) →
Result →
70
63
2
24
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GARRIDO Martin Gerardo | 70 |
| 4 | TONDO Xavier | 68 |
| 5 | PIRES Bruno | 63 |
| 16 | JANIACZYK Błażej | 68 |
| 17 | BUFFAZ Mickaël | 64 |
| 24 | MARTINEZ José Alberto | 67 |