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 = -3.6 * weight + 264
This means that on average for every extra kilogram weight a rider loses -3.6 positions in the result.
Marie
1
68 kgDuclos-Lassalle
15
73 kgGayant
17
69 kgMadiot
22
68 kgJourdan
39
64 kgEarley
50
62 kg
1
68 kgDuclos-Lassalle
15
73 kgGayant
17
69 kgMadiot
22
68 kgJourdan
39
64 kgEarley
50
62 kg
Weight (KG) →
Result →
73
62
1
50
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARIE Thierry | 68 |
| 15 | DUCLOS-LASSALLE Gilbert | 73 |
| 17 | GAYANT Martial | 69 |
| 22 | MADIOT Marc | 68 |
| 39 | JOURDAN Christian | 64 |
| 50 | EARLEY Martin | 62 |