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 = -7.1 * weight + 665
This means that on average for every extra kilogram weight a rider loses -7.1 positions in the result.
Gaul
1
64 kgDe Bruyne
8
68 kgBobet
9
74 kgCoppi
17
72 kgDerycke
19
70 kgErnzer
990
69 kg
1
64 kgDe Bruyne
8
68 kgBobet
9
74 kgCoppi
17
72 kgDerycke
19
70 kgErnzer
990
69 kg
Weight (KG) →
Result →
74
64
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAUL Charly | 64 |
| 8 | DE BRUYNE Alfred | 68 |
| 9 | BOBET Louison | 74 |
| 17 | COPPI Fausto | 72 |
| 19 | DERYCKE Germain | 70 |
| 990 | ERNZER Marcel | 69 |