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 = 0.4 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Baronchelli
9
72 kgGianetti
10
62 kgCaroli
20
77 kgDemierre
22
70 kgChiappucci
23
67 kgElli
28
71 kg
9
72 kgGianetti
10
62 kgCaroli
20
77 kgDemierre
22
70 kgChiappucci
23
67 kgElli
28
71 kg
Weight (KG) →
Result →
77
62
9
28
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | BARONCHELLI Gianbattista | 72 |
| 10 | GIANETTI Mauro | 62 |
| 20 | CAROLI Daniele | 77 |
| 22 | DEMIERRE Serge | 70 |
| 23 | CHIAPPUCCI Claudio | 67 |
| 28 | ELLI Alberto | 71 |