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 = 1.6 * weight - 97
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Didier
1
67 kgHinault
2
62 kgvan Vliet
4
65 kgVandi
6
64 kgHassink
17
71 kgvan den Hoek
24
77 kg
1
67 kgHinault
2
62 kgvan Vliet
4
65 kgVandi
6
64 kgHassink
17
71 kgvan den Hoek
24
77 kg
Weight (KG) →
Result →
77
62
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIDIER Lucien | 67 |
| 2 | HINAULT Bernard | 62 |
| 4 | VAN VLIET Leo | 65 |
| 6 | VANDI Alfio | 64 |
| 17 | HASSINK Arie | 71 |
| 24 | VAN DEN HOEK Aad | 77 |