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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Cepeda
1
61 kgHowes
3
61 kgStetina
5
63 kgMancebo
8
64 kgCepeda
9
56 kgMannion
10
58 kgGuamá
13
61 kgHecht
16
72 kg
1
61 kgHowes
3
61 kgStetina
5
63 kgMancebo
8
64 kgCepeda
9
56 kgMannion
10
58 kgGuamá
13
61 kgHecht
16
72 kg
Weight (KG) →
Result →
72
56
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CEPEDA Jefferson Alveiro | 61 |
| 3 | HOWES Alex | 61 |
| 5 | STETINA Peter | 63 |
| 8 | MANCEBO Francisco | 64 |
| 9 | CEPEDA Jefferson Alexander | 56 |
| 10 | MANNION Gavin | 58 |
| 13 | GUAMÁ Byron | 61 |
| 16 | HECHT Gage | 72 |