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 = -26.5 * weight + 2155
This means that on average for every extra kilogram weight a rider loses -26.5 positions in the result.
Rominger
3
65 kgWechselberger
4
71 kgBaronchelli
6
72 kgBugno
10
68 kgElli
990
71 kgSaronni
990
65 kg
3
65 kgWechselberger
4
71 kgBaronchelli
6
72 kgBugno
10
68 kgElli
990
71 kgSaronni
990
65 kg
Weight (KG) →
Result →
72
65
3
990
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROMINGER Tony | 65 |
| 4 | WECHSELBERGER Helmut | 71 |
| 6 | BARONCHELLI Gianbattista | 72 |
| 10 | BUGNO Gianni | 68 |
| 990 | ELLI Alberto | 71 |
| 990 | SARONNI Giuseppe | 65 |