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 = -1.3 * weight + 98
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Gayant
1
69 kgEarley
4
62 kgMadiot
6
68 kgMarie
10
68 kgJourdan
19
64 kgBernaudeau
23
64 kg
1
69 kgEarley
4
62 kgMadiot
6
68 kgMarie
10
68 kgJourdan
19
64 kgBernaudeau
23
64 kg
Weight (KG) →
Result →
69
62
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAYANT Martial | 69 |
| 4 | EARLEY Martin | 62 |
| 6 | MADIOT Marc | 68 |
| 10 | MARIE Thierry | 68 |
| 19 | JOURDAN Christian | 64 |
| 23 | BERNAUDEAU Jean-René | 64 |