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 + 60
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Bernaudeau
3
64 kgDuclos-Lassalle
5
73 kgJourdan
25
64 kgBourreau
31
63 kgDuteil
46
69 kg
3
64 kgDuclos-Lassalle
5
73 kgJourdan
25
64 kgBourreau
31
63 kgDuteil
46
69 kg
Weight (KG) →
Result →
73
63
3
46
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BERNAUDEAU Jean-René | 64 |
| 5 | DUCLOS-LASSALLE Gilbert | 73 |
| 25 | JOURDAN Christian | 64 |
| 31 | BOURREAU Bernard | 63 |
| 46 | DUTEIL Francis | 69 |