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 - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Rominger
1
65 kgCasagrande
2
64 kgRebellin
3
63 kgUgrumov
4
58 kgGianetti
7
62 kgZberg
9
72 kgTonkov
10
70 kg
1
65 kgCasagrande
2
64 kgRebellin
3
63 kgUgrumov
4
58 kgGianetti
7
62 kgZberg
9
72 kgTonkov
10
70 kg
Weight (KG) →
Result →
72
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 2 | CASAGRANDE Francesco | 64 |
| 3 | REBELLIN Davide | 63 |
| 4 | UGRUMOV Piotr | 58 |
| 7 | GIANETTI Mauro | 62 |
| 9 | ZBERG Beat | 72 |
| 10 | TONKOV Pavel | 70 |