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 = 40.1 * weight - 2259
This means that on average for every extra kilogram weight a rider loses 40.1 positions in the result.
Rominger
1
65 kgWechselberger
2
71 kgBugno
3
68 kgElli
990
71 kgBaronchelli
990
72 kgSaronni
990
65 kg
1
65 kgWechselberger
2
71 kgBugno
3
68 kgElli
990
71 kgBaronchelli
990
72 kgSaronni
990
65 kg
Weight (KG) →
Result →
72
65
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 2 | WECHSELBERGER Helmut | 71 |
| 3 | BUGNO Gianni | 68 |
| 990 | ELLI Alberto | 71 |
| 990 | BARONCHELLI Gianbattista | 72 |
| 990 | SARONNI Giuseppe | 65 |