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 = 36 * weight - 1995
This means that on average for every extra kilogram weight a rider loses 36 positions in the result.
Chiappucci
1
67 kgRichard
4
67 kgJaskuła
9
76 kgSimon
990
70 kgTonkov
990
70 kgden Bakker
990
71 kgKelly
990
77 kg
1
67 kgRichard
4
67 kgJaskuła
9
76 kgSimon
990
70 kgTonkov
990
70 kgden Bakker
990
71 kgKelly
990
77 kg
Weight (KG) →
Result →
77
67
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHIAPPUCCI Claudio | 67 |
| 4 | RICHARD Pascal | 67 |
| 9 | JASKUŁA Zenon | 76 |
| 990 | SIMON François | 70 |
| 990 | TONKOV Pavel | 70 |
| 990 | DEN BAKKER Maarten | 71 |
| 990 | KELLY Sean | 77 |