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 = -19.9 * weight + 1923
This means that on average for every extra kilogram weight a rider loses -19.9 positions in the result.
Kelly
3
77 kgTonkov
4
70 kgSimon
5
70 kgJaskuła
990
76 kgChiappucci
990
67 kgden Bakker
990
71 kg
3
77 kgTonkov
4
70 kgSimon
5
70 kgJaskuła
990
76 kgChiappucci
990
67 kgden Bakker
990
71 kg
Weight (KG) →
Result →
77
67
3
990
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KELLY Sean | 77 |
| 4 | TONKOV Pavel | 70 |
| 5 | SIMON François | 70 |
| 990 | JASKUŁA Zenon | 76 |
| 990 | CHIAPPUCCI Claudio | 67 |
| 990 | DEN BAKKER Maarten | 71 |