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 = 0.3 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Demierre
8
70 kgGlaus
17
67 kgVan Avermaet
35
75 kgVilamajo
36
70 kgPollentier
44
62 kgLadrón
49
74 kg
8
70 kgGlaus
17
67 kgVan Avermaet
35
75 kgVilamajo
36
70 kgPollentier
44
62 kgLadrón
49
74 kg
Weight (KG) →
Result →
75
62
8
49
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | DEMIERRE Serge | 70 |
| 17 | GLAUS Gilbert | 67 |
| 35 | VAN AVERMAET Ronald | 75 |
| 36 | VILAMAJO Jaime | 70 |
| 44 | POLLENTIER Michel | 62 |
| 49 | LADRÓN Rafael | 74 |