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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Rous
1
70 kgCasero
2
72 kgHeulot
3
69 kgden Bakker
4
71 kgBouyer
5
65 kgVogels
6
75 kgBoogerd
9
62 kg
1
70 kgCasero
2
72 kgHeulot
3
69 kgden Bakker
4
71 kgBouyer
5
65 kgVogels
6
75 kgBoogerd
9
62 kg
Weight (KG) →
Result →
75
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROUS Didier | 70 |
| 2 | CASERO Ángel Luis | 72 |
| 3 | HEULOT Stéphane | 69 |
| 4 | DEN BAKKER Maarten | 71 |
| 5 | BOUYER Franck | 65 |
| 6 | VOGELS Henk | 75 |
| 9 | BOOGERD Michael | 62 |