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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Tonkov
1
70 kgLatasa
2
66 kgEtxebarria
5
55 kgBoogerd
6
62 kgCabello
7
72 kgOsa
8
65 kgGonzález de Galdeano
10
73 kg
1
70 kgLatasa
2
66 kgEtxebarria
5
55 kgBoogerd
6
62 kgCabello
7
72 kgOsa
8
65 kgGonzález de Galdeano
10
73 kg
Weight (KG) →
Result →
73
55
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TONKOV Pavel | 70 |
| 2 | LATASA David | 66 |
| 5 | ETXEBARRIA David | 55 |
| 6 | BOOGERD Michael | 62 |
| 7 | CABELLO Francisco | 72 |
| 8 | OSA Unai | 65 |
| 10 | GONZÁLEZ DE GALDEANO Igor | 73 |