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 = -0.5 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Bourreau
5
63 kgOvion
11
64 kgHinault
17
62 kgMadiot
20
68 kgBernaudeau
35
64 kgMartin
39
62 kgJourdan
40
64 kg
5
63 kgOvion
11
64 kgHinault
17
62 kgMadiot
20
68 kgBernaudeau
35
64 kgMartin
39
62 kgJourdan
40
64 kg
Weight (KG) →
Result →
68
62
5
40
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BOURREAU Bernard | 63 |
| 11 | OVION Régis | 64 |
| 17 | HINAULT Bernard | 62 |
| 20 | MADIOT Marc | 68 |
| 35 | BERNAUDEAU Jean-René | 64 |
| 39 | MARTIN Raymond | 62 |
| 40 | JOURDAN Christian | 64 |