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 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Clerc
1
71 kgSerrano
8
67 kgIsasi
10
70 kgVila
17
67 kgNoval
28
71 kgValverde
29
61 kgZandio
33
73 kgMartínez
37
70 kg
1
71 kgSerrano
8
67 kgIsasi
10
70 kgVila
17
67 kgNoval
28
71 kgValverde
29
61 kgZandio
33
73 kgMartínez
37
70 kg
Weight (KG) →
Result →
73
61
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CLERC Aurélien | 71 |
| 8 | SERRANO Ricardo | 67 |
| 10 | ISASI Iñaki | 70 |
| 17 | VILA Francisco Javier | 67 |
| 28 | NOVAL Benjamín | 71 |
| 29 | VALVERDE Alejandro | 61 |
| 33 | ZANDIO Xabier | 73 |
| 37 | MARTÍNEZ Egoi | 70 |