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 + 58
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Hinault
2
62 kgDuclos-Lassalle
11
73 kgMadiot
14
68 kgJourdan
23
64 kgBourreau
27
63 kgBernaudeau
29
64 kg
2
62 kgDuclos-Lassalle
11
73 kgMadiot
14
68 kgJourdan
23
64 kgBourreau
27
63 kgBernaudeau
29
64 kg
Weight (KG) →
Result →
73
62
2
29
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HINAULT Bernard | 62 |
| 11 | DUCLOS-LASSALLE Gilbert | 73 |
| 14 | MADIOT Marc | 68 |
| 23 | JOURDAN Christian | 64 |
| 27 | BOURREAU Bernard | 63 |
| 29 | BERNAUDEAU Jean-René | 64 |