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 + 4
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Buffaz
1
64 kgRenshaw
2
74 kgChampion
3
70 kgRojas
4
70 kgBrown
5
76 kgPorte
6
62 kg
1
64 kgRenshaw
2
74 kgChampion
3
70 kgRojas
4
70 kgBrown
5
76 kgPorte
6
62 kg
Weight (KG) →
Result →
76
62
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUFFAZ Mickaël | 64 |
| 2 | RENSHAW Mark | 74 |
| 3 | CHAMPION Dimitri | 70 |
| 4 | ROJAS José Joaquín | 70 |
| 5 | BROWN Graeme Allen | 76 |
| 6 | PORTE Richie | 62 |